找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 28788|回復(fù): 68
樓主
發(fā)表于 2025-3-21 17:38:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱High Performance Computing for Drug Discovery and Biomedicine
編輯Alexander Heifetz
視頻videohttp://file.papertrans.cn/427/426347/426347.mp4
概述Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面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
關(guān)鍵詞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

書目名稱High Performance Computing for Drug Discovery and Biomedicine影響因子(影響力)




書目名稱High Performance Computing for Drug Discovery and Biomedicine影響因子(影響力)學(xué)科排名




書目名稱High Performance Computing for Drug Discovery and Biomedicine網(wǎng)絡(luò)公開度




書目名稱High Performance Computing for Drug Discovery and Biomedicine網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱High Performance Computing for Drug Discovery and Biomedicine被引頻次




書目名稱High Performance Computing for Drug Discovery and Biomedicine被引頻次學(xué)科排名




書目名稱High Performance Computing for Drug Discovery and Biomedicine年度引用




書目名稱High Performance Computing for Drug Discovery and Biomedicine年度引用學(xué)科排名




書目名稱High Performance Computing for Drug Discovery and Biomedicine讀者反饋




書目名稱High Performance Computing for Drug Discovery and Biomedicine讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:18:37 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:10:22 | 只看該作者
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.
地板
發(fā)表于 2025-3-22 04:37:15 | 只看該作者
5#
發(fā)表于 2025-3-22 10:23:44 | 只看該作者
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.
6#
發(fā)表于 2025-3-22 15:49:57 | 只看該作者
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.
7#
發(fā)表于 2025-3-22 20:46:47 | 只看該作者
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.
8#
發(fā)表于 2025-3-23 00:57:54 | 只看該作者
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.
9#
發(fā)表于 2025-3-23 01:24:57 | 只看該作者
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
10#
發(fā)表于 2025-3-23 05:39:57 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 22:16
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
桃园市| 满洲里市| 都江堰市| 合肥市| 金华市| 水富县| 岢岚县| 泾川县| 满洲里市| 常德市| 黔东| 通许县| 肇州县| 九龙县| 本溪市| 共和县| 石狮市| 蒙阴县| 昌吉市| 虹口区| 宜昌市| 保山市| 张家港市| 祁阳县| 石家庄市| 绩溪县| 新干县| 仁化县| 江陵县| 上杭县| 肇源县| 特克斯县| 巴林左旗| 固镇县| 博乐市| 张家口市| 油尖旺区| 景谷| 元江| 张家界市| 永定县|