Mycobacterial Dihydrofolate Reductase Inhibitors Identified Using Chemogenomic Methods and In Vitro Validation
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mycobacterial Dihydrofolate Reductase Inhibitors Identified Using Chemogenomic Methods and In Vitro Validation
Authors
Keywords
Mycobacterium tuberculosis, Tuberculosis drug discovery, Mycobacterium bovis, Drug discovery, Crystal structure, Molecular structure, Tuberculosis, Bovine tuberculosis
Journal
PLoS One
Volume 10, Issue 3, Pages e0121492
Publisher
Public Library of Science (PLoS)
Online
2015-03-24
DOI
10.1371/journal.pone.0121492
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fueling Open-Source Drug Discovery: 177 Small-Molecule Leads against Tuberculosis
- (2013) Lluís Ballell et al. ChemMedChem
- para-Aminosalicylic Acid Is a Prodrug Targeting Dihydrofolate Reductase inMycobacterium tuberculosis
- (2013) Jun Zheng et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Fusing Dual-Event Data Sets for Mycobacterium tuberculosis Machine Learning Models and Their Evaluation
- (2013) Sean Ekins et al. Journal of Chemical Information and Modeling
- The ChEMBL bioactivity database: an update
- (2013) A. Patrícia Bento et al. NUCLEIC ACIDS RESEARCH
- Identification of Novel Imidazo[1,2-a]pyridine Inhibitors Targeting M. tuberculosis QcrB
- (2013) Katherine A. Abrahams et al. PLoS One
- Enhancing Hit Identification in Mycobacterium tuberculosis Drug Discovery Using Validated Dual-Event Bayesian Models
- (2013) Sean Ekins et al. PLoS One
- Mycobacterium tuberculosis Dihydrofolate Reductase Reveals Two Conformational States and a Possible Low Affinity Mechanism to Antifolate Drugs
- (2013) Marcio Vinicius Bertacine Dias et al. STRUCTURE
- Target Prediction for an Open Access Set of Compounds Active against Mycobacterium tuberculosis
- (2013) Francisco Martínez-Jiménez et al. PLoS Computational Biology
- Surveillance of anti-tuberculosis drug resistance in the world: an updated analysis, 2007–2010
- (2012) Matteo Zignol et al. BULLETIN OF THE WORLD HEALTH ORGANIZATION
- Docking and scoring with ICM: the benchmarking results and strategies for improvement
- (2012) Marco A. C. Neves et al. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
- Molecular Fingerprint-Based Artificial Neural Networks QSAR for Ligand Biological Activity Predictions
- (2012) Kyaw-Zeyar Myint et al. MOLECULAR PHARMACEUTICS
- Comparing bioassay response and similarity ensemble approaches to probing protein pharmacology
- (2011) Bin Chen et al. BIOINFORMATICS
- TDR Targets: a chemogenomics resource for neglected diseases
- (2011) M. P. Magarinos et al. NUCLEIC ACIDS RESEARCH
- ChEMBL: a large-scale bioactivity database for drug discovery
- (2011) A. Gaulton et al. NUCLEIC ACIDS RESEARCH
- Ligand efficiency indices for an effective mapping of chemico-biological space: the concept of an atlas-like representation
- (2010) Cele Abad-Zapatero et al. DRUG DISCOVERY TODAY
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
- A chemogenomics view on protein-ligand spaces
- (2009) Helena Strömbergsson et al. BMC BIOINFORMATICS
- In silico structure-based design of a novel class of potent and selective small peptide inhibitor of Mycobacterium tuberculosis Dihydrofolate reductase, a potential target for anti-TB drug discovery
- (2009) Manoj Kumar et al. MOLECULAR DIVERSITY
- Predicting new molecular targets for known drugs
- (2009) Michael J. Keiser et al. NATURE
- Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
- (2008) Y. Yamanishi et al. BIOINFORMATICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started