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name="order"><option selected value="-announced_date_first">Announcement date (newest first)</option><option value="announced_date_first">Announcement date (oldest first)</option><option value="-submitted_date">Submission date (newest first)</option><option value="submitted_date">Submission date (oldest first)</option><option value="">Relevance</option></select> </span> </div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.04351">arXiv:2410.04351</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.04351">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Tissues and Organs">q-bio.TO</span> </div> </div> <p class="title is-5 mathjax"> An asymmetric surface coating strategy for promotes rapid endothelialization in the rabbit carotid artery </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+L">Lili Tan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ye%2C+Z">Zhiyi Ye</a>, <a href="/search/q-bio?searchtype=author&amp;query=Yu%2C+S">Suhua Yu</a>, <a href="/search/q-bio?searchtype=author&amp;query=Wang%2C+J">Jinxuan Wang</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ouyang%2C+C">Chenxi Ouyang</a>, <a href="/search/q-bio?searchtype=author&amp;query=Zhang%2C+Z">Zhengcai Zhang</a>, <a href="/search/q-bio?searchtype=author&amp;query=Guidoin%2C+R">Robert Guidoin</a>, <a href="/search/q-bio?searchtype=author&amp;query=Wang%2C+G">Guixue Wang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.04351v1-abstract-short" style="display: inline;"> Studying surface modification has long been a key area for enhancing the effects of vascular stents after surgery. The study aimed to develop an asymmetric drug-eluting stent (ADES) with differential drug loading on its inner and outer surfaces, hypothesizing that this design would enhance drug delivery efficacy for percutaneous coronary interventions (PCIs) compared to uniformly coated drug-eluti&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.04351v1-abstract-full').style.display = 'inline'; document.getElementById('2410.04351v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.04351v1-abstract-full" style="display: none;"> Studying surface modification has long been a key area for enhancing the effects of vascular stents after surgery. The study aimed to develop an asymmetric drug-eluting stent (ADES) with differential drug loading on its inner and outer surfaces, hypothesizing that this design would enhance drug delivery efficacy for percutaneous coronary interventions (PCIs) compared to uniformly coated drug-eluting stents (UDES). An ultrasonic atomization spraying device was utilized to fabricate the ADES, which was subsequently evaluated for drug release patterns, hemocompatibility, and biocompatibility. In vitro, assessments demonstrated favorable hemocompatibility and showed targeted drug delivery capabilities of ADES within artificial blood vessels. Furthermore, in vivo testing using a rabbit carotid artery model revealed significant endothelialization on stented segments treated with the ADES. These findings suggest that the ADES holds promise as a minimally invasive platform for improving cardiovascular disease treatment outcomes by addressing thrombus formation and neointima proliferation more effectively than traditional stents. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.04351v1-abstract-full').style.display = 'none'; document.getElementById('2410.04351v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">24 pages,7 figures, 1 table</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2407.09922">arXiv:2407.09922</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2407.09922">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Neurons and Cognition">q-bio.NC</span> </div> </div> <p class="title is-5 mathjax"> Transcranial low-level laser stimulation in near infrared-II region for brain safety and protection </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Li%2C+Z">Zhilin Li</a>, <a href="/search/q-bio?searchtype=author&amp;query=Zhao%2C+Y">Yongheng Zhao</a>, <a href="/search/q-bio?searchtype=author&amp;query=Hu%2C+Y">Yiqing Hu</a>, <a href="/search/q-bio?searchtype=author&amp;query=Li%2C+Y">Yang Li</a>, <a href="/search/q-bio?searchtype=author&amp;query=Zhang%2C+K">Keyao Zhang</a>, <a href="/search/q-bio?searchtype=author&amp;query=Gao%2C+Z">Zhibing Gao</a>, <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+L">Lirou Tan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Liu%2C+H">Hanli Liu</a>, <a href="/search/q-bio?searchtype=author&amp;query=Li%2C+X">Xiaoli Li</a>, <a href="/search/q-bio?searchtype=author&amp;query=Cao%2C+A">Aihua Cao</a>, <a href="/search/q-bio?searchtype=author&amp;query=Cui%2C+Z">Zaixu Cui</a>, <a href="/search/q-bio?searchtype=author&amp;query=Zhao%2C+C">Chenguang Zhao</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2407.09922v1-abstract-short" style="display: inline;"> Background: The use of near-infrared lasers for transcranial photobiomodulation (tPBM) offers a non-invasive method for influencing brain activity and is beneficial for various neurological conditions. Objective: To investigate the safety and neuroprotective properties of tPBM using near-infrared (NIR)-II laser stimulation. Methods: We conducted thirteen experiments involving multidimensional and&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.09922v1-abstract-full').style.display = 'inline'; document.getElementById('2407.09922v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2407.09922v1-abstract-full" style="display: none;"> Background: The use of near-infrared lasers for transcranial photobiomodulation (tPBM) offers a non-invasive method for influencing brain activity and is beneficial for various neurological conditions. Objective: To investigate the safety and neuroprotective properties of tPBM using near-infrared (NIR)-II laser stimulation. Methods: We conducted thirteen experiments involving multidimensional and quantitative methods and measured serum neurobiomarkers, performed electroencephalogram (EEG) and magnetic resonance imaging (MRI) scans, assessed executive functions, and collected a subjective questionnaire. Results: Significant reductions (n=15) in neuron specific enolase (NSE) levels were observed after treatment, indicating neuroprotective effects. No structural or functional brain abnormalities were observed, confirming the safety of tPBM. Additionally, cognitive and executive functions were not impaired, with participants&#39; feedback indicating minimal discomfort. Conclusions: Our data indicate that NIR-II tPBM is safe with specific parameters, highlighting its potential for brain protection. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.09922v1-abstract-full').style.display = 'none'; document.getElementById('2407.09922v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2311.09754">arXiv:2311.09754</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2311.09754">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Populations and Evolution">q-bio.PE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Quantitative Methods">q-bio.QM</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1016/S2666-5247(23)00397-X">10.1016/S2666-5247(23)00397-X <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Efficacy of Wolbachia-mediated sterility to suppress dengue: a synthetic control study </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Lim%2C+J+T">Jue Tao Lim</a>, <a href="/search/q-bio?searchtype=author&amp;query=Bansal%2C+S">Somya Bansal</a>, <a href="/search/q-bio?searchtype=author&amp;query=Chong%2C+C+S">Chee Seng Chong</a>, <a href="/search/q-bio?searchtype=author&amp;query=Dickens%2C+B">Borame Dickens</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ng%2C+Y">Youming Ng</a>, <a href="/search/q-bio?searchtype=author&amp;query=Deng%2C+L">Lu Deng</a>, <a href="/search/q-bio?searchtype=author&amp;query=Lee%2C+C">Caleb Lee</a>, <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+L+Y">Li Yun Tan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Chain%2C+G">Grace Chain</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ma%2C+P">Pei Ma</a>, <a href="/search/q-bio?searchtype=author&amp;query=Sim%2C+S">Shuzhen Sim</a>, <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+C+H">Cheong Huat Tan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Cook%2C+A+R">Alex R Cook</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ng%2C+L+C">Lee Ching Ng</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2311.09754v1-abstract-short" style="display: inline;"> In a study conducted in Singapore, a country prone to dengue outbreaks due to its climate and urban population, researchers examined the effectiveness of releasing male Aedes aegypti mosquitoes infected with Wolbachia (wAlbB strain) to reduce dengue transmission. These infected males, when mating with wild-type females, produced non-viable eggs, leading to vector suppression. Extensive field trial&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.09754v1-abstract-full').style.display = 'inline'; document.getElementById('2311.09754v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2311.09754v1-abstract-full" style="display: none;"> In a study conducted in Singapore, a country prone to dengue outbreaks due to its climate and urban population, researchers examined the effectiveness of releasing male Aedes aegypti mosquitoes infected with Wolbachia (wAlbB strain) to reduce dengue transmission. These infected males, when mating with wild-type females, produced non-viable eggs, leading to vector suppression. Extensive field trials involving over 600,000 residents in four townships were conducted from 2018 to 2022. The results showed a 57% decline in total dengue incidence and a 64% decline in clustered dengue incidence. This approach offers promise for large-scale dengue control in regions facing rising dengue cases, providing a critical solution in combating the disease. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.09754v1-abstract-full').style.display = 'none'; document.getElementById('2311.09754v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 November, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2204.05919">arXiv:2204.05919</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2204.05919">pdf</a>, <a href="https://arxiv.org/format/2204.05919">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Quantitative Methods">q-bio.QM</span> </div> </div> <p class="title is-5 mathjax"> Leveraging Reaction-aware Substructures for Retrosynthesis Analysis </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Fang%2C+L">Lei Fang</a>, <a href="/search/q-bio?searchtype=author&amp;query=Li%2C+J">Junren Li</a>, <a href="/search/q-bio?searchtype=author&amp;query=Zhao%2C+M">Ming Zhao</a>, <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+L">Li Tan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Lou%2C+J">Jian-Guang Lou</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2204.05919v4-abstract-short" style="display: inline;"> Retrosynthesis analysis is a critical task in organic chemistry central to many important industries. Previously, various machine learning approaches have achieved promising results on this task by representing output molecules as strings and autoregressively decoded token-by-token with generative models. Text generation or machine translation models in natural language processing were frequently&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2204.05919v4-abstract-full').style.display = 'inline'; document.getElementById('2204.05919v4-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2204.05919v4-abstract-full" style="display: none;"> Retrosynthesis analysis is a critical task in organic chemistry central to many important industries. Previously, various machine learning approaches have achieved promising results on this task by representing output molecules as strings and autoregressively decoded token-by-token with generative models. Text generation or machine translation models in natural language processing were frequently utilized approaches. The token-by-token decoding approach is not intuitive from a chemistry perspective because some substructures are relatively stable and remain unchanged during reactions. In this paper, we propose a substructure-level decoding model, where the substructures are reaction-aware and can be automatically extracted with a fully data-driven approach. Our approach achieved improvement over previously reported models, and we find that the performance can be further boosted if the accuracy of substructure extraction is improved. The substructures extracted by our approach can provide users with better insights for decision-making compared to existing methods. We hope this work will generate interest in this fast growing and highly interdisciplinary area on retrosynthesis prediction and other related topics. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2204.05919v4-abstract-full').style.display = 'none'; document.getElementById('2204.05919v4-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 September, 2022; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 12 April, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Work in progress</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2103.02843">arXiv:2103.02843</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2103.02843">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computational Engineering, Finance, and Science">cs.CE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Biological Physics">physics.bio-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Quantitative Methods">q-bio.QM</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1098/rsfs.2021.0018">10.1098/rsfs.2021.0018 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Bhati%2C+A+P">Agastya P. Bhati</a>, <a href="/search/q-bio?searchtype=author&amp;query=Wan%2C+S">Shunzhou Wan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Alf%C3%A8%2C+D">Dario Alf猫</a>, <a href="/search/q-bio?searchtype=author&amp;query=Clyde%2C+A+R">Austin R. Clyde</a>, <a href="/search/q-bio?searchtype=author&amp;query=Bode%2C+M">Mathis Bode</a>, <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+L">Li Tan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Titov%2C+M">Mikhail Titov</a>, <a href="/search/q-bio?searchtype=author&amp;query=Merzky%2C+A">Andre Merzky</a>, <a href="/search/q-bio?searchtype=author&amp;query=Turilli%2C+M">Matteo Turilli</a>, <a href="/search/q-bio?searchtype=author&amp;query=Jha%2C+S">Shantenu Jha</a>, <a href="/search/q-bio?searchtype=author&amp;query=Highfield%2C+R+R">Roger R. Highfield</a>, <a href="/search/q-bio?searchtype=author&amp;query=Rocchia%2C+W">Walter Rocchia</a>, <a href="/search/q-bio?searchtype=author&amp;query=Scafuri%2C+N">Nicola Scafuri</a>, <a href="/search/q-bio?searchtype=author&amp;query=Succi%2C+S">Sauro Succi</a>, <a href="/search/q-bio?searchtype=author&amp;query=Kranzlm%C3%BCller%2C+D">Dieter Kranzlm眉ller</a>, <a href="/search/q-bio?searchtype=author&amp;query=Mathias%2C+G">Gerald Mathias</a>, <a href="/search/q-bio?searchtype=author&amp;query=Wifling%2C+D">David Wifling</a>, <a href="/search/q-bio?searchtype=author&amp;query=Donon%2C+Y">Yann Donon</a>, <a href="/search/q-bio?searchtype=author&amp;query=Di+Meglio%2C+A">Alberto Di Meglio</a>, <a href="/search/q-bio?searchtype=author&amp;query=Vallecorsa%2C+S">Sofia Vallecorsa</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ma%2C+H">Heng Ma</a>, <a href="/search/q-bio?searchtype=author&amp;query=Trifan%2C+A">Anda Trifan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ramanathan%2C+A">Arvind Ramanathan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Brettin%2C+T">Tom Brettin</a>, <a href="/search/q-bio?searchtype=author&amp;query=Partin%2C+A">Alexander Partin</a> , et al. (4 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2103.02843v2-abstract-short" style="display: inline;"> The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules to shortlist lead compounds for antiviral drug development. New opportunities to accelerate drug discovery lie at the interface between machine learning methods&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2103.02843v2-abstract-full').style.display = 'inline'; document.getElementById('2103.02843v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2103.02843v2-abstract-full" style="display: none;"> The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules to shortlist lead compounds for antiviral drug development. New opportunities to accelerate drug discovery lie at the interface between machine learning methods, in this case developed for linear accelerators, and physics-based methods. The two in silico methods, each have their own advantages and limitations which, interestingly, complement each other. Here, we present an innovative infrastructural development that combines both approaches to accelerate drug discovery. The scale of the potential resulting workflow is such that it is dependent on supercomputing to achieve extremely high throughput. We have demonstrated the viability of this workflow for the study of inhibitors for four COVID-19 target proteins and our ability to perform the required large-scale calculations to identify lead antiviral compounds through repurposing on a variety of supercomputers. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2103.02843v2-abstract-full').style.display = 'none'; document.getElementById('2103.02843v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 4 September, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 4 March, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Interface Focus. 2021. 11 (6): 20210018 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2010.06574">arXiv:2010.06574</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2010.06574">pdf</a>, <a href="https://arxiv.org/format/2010.06574">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computational Engineering, Finance, and Science">cs.CE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Quantitative Methods">q-bio.QM</span> </div> </div> <p class="title is-5 mathjax"> IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Saadi%2C+A+A">Aymen Al Saadi</a>, <a href="/search/q-bio?searchtype=author&amp;query=Alfe%2C+D">Dario Alfe</a>, <a href="/search/q-bio?searchtype=author&amp;query=Babuji%2C+Y">Yadu Babuji</a>, <a href="/search/q-bio?searchtype=author&amp;query=Bhati%2C+A">Agastya Bhati</a>, <a href="/search/q-bio?searchtype=author&amp;query=Blaiszik%2C+B">Ben Blaiszik</a>, <a href="/search/q-bio?searchtype=author&amp;query=Brettin%2C+T">Thomas Brettin</a>, <a href="/search/q-bio?searchtype=author&amp;query=Chard%2C+K">Kyle Chard</a>, <a href="/search/q-bio?searchtype=author&amp;query=Chard%2C+R">Ryan Chard</a>, <a href="/search/q-bio?searchtype=author&amp;query=Coveney%2C+P">Peter Coveney</a>, <a href="/search/q-bio?searchtype=author&amp;query=Trifan%2C+A">Anda Trifan</a>, <a href="/search/q-bio?searchtype=author&amp;query=Brace%2C+A">Alex Brace</a>, <a href="/search/q-bio?searchtype=author&amp;query=Clyde%2C+A">Austin Clyde</a>, <a href="/search/q-bio?searchtype=author&amp;query=Foster%2C+I">Ian Foster</a>, <a href="/search/q-bio?searchtype=author&amp;query=Gibbs%2C+T">Tom Gibbs</a>, <a href="/search/q-bio?searchtype=author&amp;query=Jha%2C+S">Shantenu Jha</a>, <a href="/search/q-bio?searchtype=author&amp;query=Keipert%2C+K">Kristopher Keipert</a>, <a href="/search/q-bio?searchtype=author&amp;query=Kurth%2C+T">Thorsten Kurth</a>, <a href="/search/q-bio?searchtype=author&amp;query=Kranzlm%C3%BCller%2C+D">Dieter Kranzlm眉ller</a>, <a href="/search/q-bio?searchtype=author&amp;query=Lee%2C+H">Hyungro Lee</a>, <a href="/search/q-bio?searchtype=author&amp;query=Li%2C+Z">Zhuozhao Li</a>, <a href="/search/q-bio?searchtype=author&amp;query=Ma%2C+H">Heng Ma</a>, <a href="/search/q-bio?searchtype=author&amp;query=Merzky%2C+A">Andre Merzky</a>, <a href="/search/q-bio?searchtype=author&amp;query=Mathias%2C+G">Gerald Mathias</a>, <a href="/search/q-bio?searchtype=author&amp;query=Partin%2C+A">Alexander Partin</a>, <a href="/search/q-bio?searchtype=author&amp;query=Yin%2C+J">Junqi Yin</a> , et al. (11 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2010.06574v1-abstract-short" style="display: inline;"> The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive and too slow, especially in emergencies like the COVID-19 pandemic. In silicomethodologies need to be improved to better select lead compounds that can proceed to later stages of the drug discovery protocol accelerating&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2010.06574v1-abstract-full').style.display = 'inline'; document.getElementById('2010.06574v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2010.06574v1-abstract-full" style="display: none;"> The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive and too slow, especially in emergencies like the COVID-19 pandemic. In silicomethodologies need to be improved to better select lead compounds that can proceed to later stages of the drug discovery protocol accelerating the entire process. No single methodological approach can achieve the necessary accuracy with required efficiency. Here we describe multiple algorithmic innovations to overcome this fundamental limitation, development and deployment of computational infrastructure at scale integrates multiple artificial intelligence and simulation-based approaches. Three measures of performance are:(i) throughput, the number of ligands per unit time; (ii) scientific performance, the number of effective ligands sampled per unit time and (iii) peak performance, in flop/s. The capabilities outlined here have been used in production for several months as the workhorse of the computational infrastructure to support the capabilities of the US-DOE National Virtual Biotechnology Laboratory in combination with resources from the EU Centre of Excellence in Computational Biomedicine. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2010.06574v1-abstract-full').style.display = 'none'; document.getElementById('2010.06574v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 October, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2020. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1512.07603">arXiv:1512.07603</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1512.07603">pdf</a>, <a href="https://arxiv.org/format/1512.07603">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Populations and Evolution">q-bio.PE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Disordered Systems and Neural Networks">cond-mat.dis-nn</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Statistical Mechanics">cond-mat.stat-mech</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Chaotic Dynamics">nlin.CD</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1038/srep31762">10.1038/srep31762 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Symmetric and Asymmetric Tendencies in Stable Complex Systems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/q-bio?searchtype=author&amp;query=Tan%2C+J+P+L">James P. L. Tan</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1512.07603v4-abstract-short" style="display: inline;"> A commonly used approach to study stability in a complex system is by analyzing the Jacobian matrix at an equilibrium point of a dynamical system. The equilibrium point is stable if all eigenvalues have negative real parts. Here, by obtaining eigenvalue bounds of the Jacobian, we show that stable complex systems will favor mutualistic and competitive relationships that are asymmetrical (non-recipr&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1512.07603v4-abstract-full').style.display = 'inline'; document.getElementById('1512.07603v4-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1512.07603v4-abstract-full" style="display: none;"> A commonly used approach to study stability in a complex system is by analyzing the Jacobian matrix at an equilibrium point of a dynamical system. The equilibrium point is stable if all eigenvalues have negative real parts. Here, by obtaining eigenvalue bounds of the Jacobian, we show that stable complex systems will favor mutualistic and competitive relationships that are asymmetrical (non-reciprocative) and trophic relationships that are symmetrical (reciprocative). Additionally, we define a measure called the interdependence diversity that quantifies how distributed the dependencies are between the dynamical variables in the system. We find that increasing interdependence diversity has a destabilizing effect on the equilibrium point, and the effect is greater for trophic relationships than for mutualistic and competitive relationships. These predictions are consistent with empirical observations in ecology. More importantly, our findings suggest stabilization algorithms that can apply very generally to a variety of complex systems. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1512.07603v4-abstract-full').style.display = 'none'; document.getElementById('1512.07603v4-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 August, 2016; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 23 December, 2015; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2015. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">21 pages, 5 figures. v2: Corrected typos in abstract. v3: major revision. v4: communicated to Sci Rep</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Sci. Rep. 6 (2016) 31762 </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>&nbsp;&nbsp;</span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul class="nav-spaced"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg> <a href="https://info.arxiv.org/help/contact.html"> Contact</a> </li> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>subscribe to arXiv mailings</title><desc>Click here to subscribe</desc><path d="M476 3.2L12.5 270.6c-18.1 10.4-15.8 35.6 2.2 43.2L121 358.4l287.3-253.2c5.5-4.9 13.3 2.6 8.6 8.3L176 407v80.5c0 23.6 28.5 32.9 42.5 15.8L282 426l124.6 52.2c14.2 6 30.4-2.9 33-18.2l72-432C515 7.8 493.3-6.8 476 3.2z"/></svg> <a href="https://info.arxiv.org/help/subscribe"> Subscribe</a> </li> </ul> </div> </div> </div> <!-- end MetaColumn 1 --> <!-- MetaColumn 2 --> <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/help/license/index.html">Copyright</a></li> <li><a href="https://info.arxiv.org/help/policies/privacy_policy.html">Privacy Policy</a></li> </ul> </div> <div class="column sorry-app-links"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/help/web_accessibility.html">Web Accessibility Assistance</a></li> <li> <p class="help"> <a class="a11y-main-link" href="https://status.arxiv.org" target="_blank">arXiv Operational Status <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 256 512" class="icon filter-dark_grey" role="presentation"><path d="M224.3 273l-136 136c-9.4 9.4-24.6 9.4-33.9 0l-22.6-22.6c-9.4-9.4-9.4-24.6 0-33.9l96.4-96.4-96.4-96.4c-9.4-9.4-9.4-24.6 0-33.9L54.3 103c9.4-9.4 24.6-9.4 33.9 0l136 136c9.5 9.4 9.5 24.6.1 34z"/></svg></a><br> Get status notifications via <a class="is-link" href="https://subscribe.sorryapp.com/24846f03/email/new" target="_blank"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg>email</a> or <a class="is-link" href="https://subscribe.sorryapp.com/24846f03/slack/new" target="_blank"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" class="icon filter-black" role="presentation"><path d="M94.12 315.1c0 25.9-21.16 47.06-47.06 47.06S0 341 0 315.1c0-25.9 21.16-47.06 47.06-47.06h47.06v47.06zm23.72 0c0-25.9 21.16-47.06 47.06-47.06s47.06 21.16 47.06 47.06v117.84c0 25.9-21.16 47.06-47.06 47.06s-47.06-21.16-47.06-47.06V315.1zm47.06-188.98c-25.9 0-47.06-21.16-47.06-47.06S139 32 164.9 32s47.06 21.16 47.06 47.06v47.06H164.9zm0 23.72c25.9 0 47.06 21.16 47.06 47.06s-21.16 47.06-47.06 47.06H47.06C21.16 243.96 0 222.8 0 196.9s21.16-47.06 47.06-47.06H164.9zm188.98 47.06c0-25.9 21.16-47.06 47.06-47.06 25.9 0 47.06 21.16 47.06 47.06s-21.16 47.06-47.06 47.06h-47.06V196.9zm-23.72 0c0 25.9-21.16 47.06-47.06 47.06-25.9 0-47.06-21.16-47.06-47.06V79.06c0-25.9 21.16-47.06 47.06-47.06 25.9 0 47.06 21.16 47.06 47.06V196.9zM283.1 385.88c25.9 0 47.06 21.16 47.06 47.06 0 25.9-21.16 47.06-47.06 47.06-25.9 0-47.06-21.16-47.06-47.06v-47.06h47.06zm0-23.72c-25.9 0-47.06-21.16-47.06-47.06 0-25.9 21.16-47.06 47.06-47.06h117.84c25.9 0 47.06 21.16 47.06 47.06 0 25.9-21.16 47.06-47.06 47.06H283.1z"/></svg>slack</a> </p> </li> </ul> </div> </div> </div> <!-- end MetaColumn 2 --> </div> </footer> <script src="https://static.arxiv.org/static/base/1.0.0a5/js/member_acknowledgement.js"></script> </body> </html>

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