ロード中...

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

PURPOSE: Tuberculosis treatments need to be shorter and overcome drug resistance. Our previous large scale phenotypic high-throughput screening against Mycobacterium tuberculosis (Mtb) has identified 737 active compounds and thousands that are inactive. We have used this data for building computatio...

詳細記述

保存先:
書誌詳細
主要な著者: Ekins, Sean, Freundlich, Joel S., Hobrath, Judith V., White, E. Lucile, Reynolds, Robert C
フォーマット: Artigo
言語:Inglês
出版事項: 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3946937/
https://ncbi.nlm.nih.gov/pubmed/24132686
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11095-013-1172-7
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!