Combining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosis - Wikidata - wikimedia - TriplyDB

Combining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosis

Combining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosis

http://www.wikidata.org/entity/Q28709665

about

New target prediction and visualization tools incorporating open source molecular fingerprints for TB Mobile 2.0 Enhancing hit identification in Mycobacterium tuberculosis drug discovery using validated dual-event Bayesian models Looking back to the future: predicting in vivo efficacy of small molecules versus Mycobacterium tuberculosis Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery Bigger data, collaborative tools and the future of predictive drug discovery TB Mobile: a mobile app for anti-tuberculosis molecules with known targets Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation.Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015).Bayesian models leveraging bioactivity and cytotoxicity information for drug discovery.Combining computational methods for hit to lead optimization in Mycobacterium tuberculosis drug discovery.Bayesian models for screening and TB Mobile for target inference with Mycobacterium tuberculosis.Evolution of a thienopyrimidine antitubercular relying on medicinal chemistry and metabolomics insights.Predictive modeling targets thymidylate synthase ThyX in Mycobacterium tuberculosis Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB).Analysis of drug binding pockets and repurposing opportunities for twelve essential enzymes of ESKAPE pathogens Computational models for neglected diseases: gaps and opportunities.Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.

P2860

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P2860

Combining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosis

http://www.wikidata.org/entity/Q28709665

description

2012 nî lūn-bûn

@nan

2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի օգոստոսին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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name

Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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type

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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prefLabel

Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Pharmaceutical Research

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Combining cheminformatics meth ...... nst Mycobacterium tuberculosis

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Barry A Bunin

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Carolyn Talcott

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Joel S Freundlich

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Malabika Sarker

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Peter Madrid

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P2860

Thousands of chemical starting points for antimalarial lead identification

Genes required for mycobacterial growth defined by high density mutagenesis

SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

Virtual screening: an endless staircase?

Microplate alamar blue assay versus BACTEC 460 system for high-throughput screening of compounds against Mycobacterium tuberculosis and Mycobacterium avium

An in vitro model for sequential study of shiftdown of Mycobacterium tuberculosis through two stages of nonreplicating persistence

A mapping of drug space from the viewpoint of small molecule metabolism

Characterization of a Mycobacterium tuberculosis H37Rv transposon library reveals insertions in 351 ORFs and mutants with altered virulence

Identification of a virulence gene cluster of Mycobacterium tuberculosis by signature-tagged transposon mutagenesis

Meta-analysis of molecular property patterns and filtering of public datasets of antimalarial “hits” and drugs

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2115-27

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10.1007/S11095-012-0741-5

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8

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29

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Gyanu Lamichhane

Sidharth Chopra

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2012-08-01T00:00:00Z

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223958908

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22477069

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Aagianik kimischri

Mycobacterium tuberculosis

cheminformatics

P932

3601406

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