找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: High Performance Computing for Drug Discovery and Biomedicine; Alexander Heifetz Book 2024 The Editor(s) (if applicable) and The Author(s)

[复制链接]
查看: 28717|回复: 68
发表于 2025-3-21 17:38:38 | 显示全部楼层 |阅读模式
书目名称High Performance Computing for Drug Discovery and Biomedicine
编辑Alexander Heifetz
视频video
概述Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts
丛书名称Methods in Molecular Biology
图书封面Titlebook: High Performance Computing for Drug Discovery and Biomedicine;  Alexander Heifetz Book 2024 The Editor(s) (if applicable) and The Author(s)
描述This volume explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. The first section collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, natural language processing (NLP), Bayesian optimization, automated virtual screening platforms, alchemical free energy workflows, fragment-molecular orbitals (FMO), HPC-adapted molecular dynamic simulation (MD-HPC), and the potential of cloud computing for drug discovery. The second section delves into computational algorithms and workflows for biomedicine, featuring an HPC framework to assess drug-induced arrhythmic risk, digital patient applications relevant to the clinic, virtual human simulations, cellular and whole-body blood flow modeling for stroke treatments, prediction of the femoral bone strength from CT data, and many more subjects. Written for the highly successful .Methods inMolecular Biology .series, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step and readily reproducible modeling protocols, and tips on troubleshootin
出版日期Book 2024
关键词HPC; Computational drug discovery (CDD); In silico biomedicine; Drug design; Precision medicine; Personal
版次1
doihttps://doi.org/10.1007/978-1-0716-3449-3
isbn_softcover978-1-0716-3451-6
isbn_ebook978-1-0716-3449-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

书目名称High Performance Computing for Drug Discovery and Biomedicine影响因子(影响力)




书目名称High Performance Computing for Drug Discovery and Biomedicine影响因子(影响力)学科排名




书目名称High Performance Computing for Drug Discovery and Biomedicine网络公开度




书目名称High Performance Computing for Drug Discovery and Biomedicine网络公开度学科排名




书目名称High Performance Computing for Drug Discovery and Biomedicine被引频次




书目名称High Performance Computing for Drug Discovery and Biomedicine被引频次学科排名




书目名称High Performance Computing for Drug Discovery and Biomedicine年度引用




书目名称High Performance Computing for Drug Discovery and Biomedicine年度引用学科排名




书目名称High Performance Computing for Drug Discovery and Biomedicine读者反馈




书目名称High Performance Computing for Drug Discovery and Biomedicine读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:18:37 | 显示全部楼层
发表于 2025-3-22 03:10:22 | 显示全部楼层
Ivan Pribec,Stephan Hachinger,Mohamad Hayek,Gavin J. Pringle,Helmut Brüchle,Ferdinand Jamitzky,Geralg elderly..In the final setup a Wizard of Oz prototype was used, being participants interviewed at their homes and characterized based on International Classification of Functioning, Disability and Health (ICF). A decision matrix was implemented, enabling to find the best trade-off between elderly’s profile and recognition method.
发表于 2025-3-22 04:37:15 | 显示全部楼层
发表于 2025-3-22 10:23:44 | 显示全部楼层
Bayesian Optimization in Drug Discovery,ement it. This explanation aims to be accessible to people involved in drug discovery projects. A strong emphasis is made on the solutions to deal with the specific constraints of drug discovery. Finally, a large set of practical applications of BO is highlighted.
发表于 2025-3-22 15:49:57 | 显示全部楼层
The Future of Drug Development with Quantum Computing,cific drug discovery challenges, including protein folding, molecular docking, AI−/ML-based optimization, and novel modalities for small molecules and RNA secondary structures. Consequently, we will discuss the latest QC landscape’s opportunities and challenges.
发表于 2025-3-22 20:46:47 | 显示全部楼层
Computational Biomedicine (CompBioMed) Centre of Excellence: Selected Key Achievements, training to foster a culture of HPC among biomedical practitioners, our free service to port and tune biomedical applications to HPC, providing future supercomputers access to surgery, and bringing FDA-endorsed credibility to biomedical simulations.
发表于 2025-3-23 00:57:54 | 显示全部楼层
A Blood Flow Modeling Framework for Stroke Treatments,ter. Among them, we propose an algorithm for imposing pressure boundary conditions. We show how to use the method developed by Walsh et al. (Comput Geosci 35(6):1186–1193, 2009) to simulate the permeability law of any porous medium. Finally, we illustrate the features of the framework through a thrombolysis model.
发表于 2025-3-23 01:24:57 | 显示全部楼层
1064-3745 expertsThis volume explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. The first section collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, nat
发表于 2025-3-23 05:39:57 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-12 10:02
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表