Combining Computational Methods for Hit to Lead Optimization in Mycobacterium Tuberculosis Drug Discovery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Combining Computational Methods for Hit to Lead Optimization in Mycobacterium Tuberculosis Drug Discovery

Published:2013-10-17 Issue:2 Volume:31 Page:414-435
ISSN:0724-8741
Container-title:Pharmaceutical Research
language:en
Short-container-title:Pharm Res

Author:

Ekins Sean,Freundlich Joel S.,Hobrath Judith V.,Lucile White E.,Reynolds Robert C.

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Organic Chemistry,Pharmaceutical Science,Pharmacology,Molecular Medicine,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s11095-013-1172-7.pdf

Reference53 articles.

1. Ballel L, Field RA, Duncan K, Young RJ. New small-molecule synthetic antimycobacterials. Antimicrob Agents Chemother. 2005;49:2153–63.

2. Mak PA, Rao SP, Ping Tan M, Lin X, Chyba J, Tay J, et al. A high-throughput screen to identify inhibitors of ATP homeostasis in Non-replicating mycobacterium tuberculosis. ACS Chem Biol. 2012;7:1190–7.

3. Stanley SA, Grant SS, Kawate T, Iwase N, Shimizu M, Wivagg C, et al. Identification of novel inhibitors of M. Tuberculosis growth using whole cell based high-throughput screening. ACS Chem Biol. 2012;7:1377–84.

4. Maddry JA, Ananthan S, Goldman RC, Hobrath JV, Kwong CD, Maddox C, et al. Antituberculosis activity of the molecular libraries screening center network library. Tuberculosis (Edinburgh, Scotland). 2009;89:354–63.

5. Ananthan S, Faaleolea ER, Goldman RC, Hobrath JV, Kwong CD, Laughon BE, et al. High-throughput screening for inhibitors of Mycobacterium tuberculosis H37Rv. Tuberculosis (Edinburgh, Scotland). 2009;89:334–53.

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Molecular Modeling Techniques to Investigate Phytochemicals as Prospective Anti-Malarial Agents;Advances in Healthcare Information Systems and Administration;2024-04-22

2. Important Targets and Inhibitors of Mycobacterium tuberculosis;Integrated Science;2023

3. Mycobacterium abscessus drug discovery using machine learning;Tuberculosis;2022-01

4. Machine Learning Models for Mycobacterium tuberculosis In Vitro Activity: Prediction and Target Visualization;Molecular Pharmaceutics;2021-12-29

5. Potential herbs as therapeutic agents for COVID-19: In silico studies;Annals of Phytomedicine: An International Journal;2021-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3