Multi-objective active machine learning rapidly improves structure–activity models and reveals new protein–protein interaction inhibitors
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-objective active machine learning rapidly improves structure–activity models and reveals new protein–protein interaction inhibitors
Authors
Keywords
-
Journal
Chemical Science
Volume 7, Issue 6, Pages 3919-3927
Publisher
Royal Society of Chemistry (RSC)
Online
2016-03-10
DOI
10.1039/c5sc04272k
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- De Novo Fragment Design for Drug Discovery and Chemical Biology
- (2015) Tiago Rodrigues et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Active-learning strategies in computer-assisted drug discovery
- (2015) Daniel Reker et al. DRUG DISCOVERY TODAY
- Multidimensional De Novo Design Reveals 5-HT2BReceptor-Selective Ligands
- (2014) Tiago Rodrigues et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Multi-Objective Molecular De Novo Design by Adaptive Fragment Prioritization
- (2014) Michael Reutlinger et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- CXCR4: A virus’s best friend?
- (2014) Kathleen L. Arnolds et al. INFECTION GENETICS AND EVOLUTION
- The role of ligand efficiency metrics in drug discovery
- (2014) Andrew L. Hopkins et al. NATURE REVIEWS DRUG DISCOVERY
- Surflex-QMOD: physically meaningful QSAR
- (2014) Alexander Steudle et al. Journal of Cheminformatics
- SDF-1 Inhibition Targets the Bone Marrow Niche for Cancer Therapy
- (2014) Aldo M. Roccaro et al. Cell Reports
- Combining On-Chip Synthesis of a Focused Combinatorial Library with Computational Target Prediction Reveals Imidazopyridine GPCR Ligands
- (2013) Michael Reutlinger et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Improved guanide compounds which bind the CXCR4 co-receptor and inhibit HIV-1 infection
- (2013) Royce A. Wilkinson et al. BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
- Predicting Potent Compounds via Model-Based Global Optimization
- (2013) Mohsen Ahmadi et al. Journal of Chemical Information and Modeling
- Time-Split Cross-Validation as a Method for Estimating the Goodness of Prospective Prediction.
- (2013) Robert P. Sheridan Journal of Chemical Information and Modeling
- Rapid Discovery of a Novel Series of Abl Kinase Inhibitors by Application of an Integrated Microfluidic Synthesis and Screening Platform
- (2013) Bimbisar Desai et al. JOURNAL OF MEDICINAL CHEMISTRY
- Chemically Advanced Template Search (CATS) for Scaffold-Hopping and Prospective Target Prediction for ‘Orphan’ Molecules
- (2013) Michael Reutlinger et al. Molecular Informatics
- The ChEMBL bioactivity database: an update
- (2013) A. Patrícia Bento et al. NUCLEIC ACIDS RESEARCH
- Efficient Modeling and Active Learning Discovery of Biological Responses
- (2013) Armaghan W. Naik et al. PLoS One
- Small Molecule Inhibitors of CXCR4
- (2013) Bikash Debnath et al. Theranostics
- Iterative Refinement of a Binding Pocket Model: Active Computational Steering of Lead Optimization
- (2012) Rocco Varela et al. JOURNAL OF MEDICINAL CHEMISTRY
- Noncyclam Tetraamines Inhibit CXC Chemokine Receptor Type 4 and Target Glioma-Initiating Cells
- (2012) Laia Ros-Blanco et al. JOURNAL OF MEDICINAL CHEMISTRY
- Impact of the CXCR4 structure on docking-based virtual screening of HIV entry inhibitors
- (2012) Jesús M. Planesas et al. JOURNAL OF MOLECULAR GRAPHICS & MODELLING
- Automated design of ligands to polypharmacological profiles
- (2012) Jérémy Besnard et al. NATURE
- Identification of Anti-Malarial Compounds as Novel Antagonists to Chemokine Receptor CXCR4 in Pancreatic Cancer Cells
- (2012) Joseph Kim et al. PLoS One
- Structure-based ligand discovery for the protein-protein interface of chemokine receptor CXCR4
- (2012) M. M. Mysinger et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- An active role for machine learning in drug development
- (2011) Robert F Murphy Nature Chemical Biology
- CXCL12 / CXCR4 / CXCR7 chemokine axis and cancer progression
- (2010) Xueqing Sun et al. CANCER AND METASTASIS REVIEWS
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
- New Substructure Filters for Removal of Pan Assay Interference Compounds (PAINS) from Screening Libraries and for Their Exclusion in Bioassays
- (2010) Jonathan B. Baell et al. JOURNAL OF MEDICINAL CHEMISTRY
- Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonists
- (2010) B. Wu et al. SCIENCE
- Using random forest for reliable classification and cost-sensitive learning for medical diagnosis
- (2009) Fan Yang et al. BMC BIOINFORMATICS
- Identification of Hits and Lead Structure Candidates with Limited Resources by Adaptive Optimization
- (2008) Andreas Schüller et al. Journal of Chemical Information and Modeling
- Virtual Screening System for Finding Structurally Diverse Hits by Active Learning
- (2008) Yukiko Fujiwara et al. Journal of Chemical Information and Modeling
- Orally Bioavailable Isothioureas Block Function of the Chemokine Receptor CXCR4 In Vitro and In Vivo
- (2008) Gebhard Thoma et al. JOURNAL OF MEDICINAL CHEMISTRY
- Voyages to the (un)known: adaptive design of bioactive compounds
- (2008) Gisbert Schneider et al. TRENDS IN BIOTECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now