Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors
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Title
Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors
Authors
Keywords
Drug interactions, Kinase inhibitors, Protein sequencing, Forecasting, Protein interactions, Sequence alignment, Drug information, Machine learning
Journal
PLoS Computational Biology
Volume 13, Issue 8, Pages e1005678
Publisher
Public Library of Science (PLoS)
Online
2017-08-08
DOI
10.1371/journal.pcbi.1005678
References
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Related references
Note: Only part of the references are listed.- Deep-Learning-Based Drug–Target Interaction Prediction
- (2017) Ming Wen et al. JOURNAL OF PROTEOME RESEARCH
- Fast metabolite identification with Input Output Kernel Regression
- (2016) Céline Brouard et al. BIOINFORMATICS
- DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank
- (2016) Qingjun Yuan et al. BIOINFORMATICS
- A multiple kernel learning algorithm for drug-target interaction prediction
- (2016) André C. A. Nascimento et al. BMC BIOINFORMATICS
- Predictive Models for Fast and Effective Profiling of Kinase Inhibitors
- (2016) Alina Bora et al. Journal of Chemical Information and Modeling
- Unprecedently Large-Scale Kinase Inhibitor Set Enabling the Accurate Prediction of Compound–Kinase Activities: A Way toward Selective Promiscuity by Design?
- (2016) Serge Christmann-Franck et al. Journal of Chemical Information and Modeling
- Profiling Prediction of Kinase Inhibitors: Toward the Virtual Assay
- (2016) Benjamin Merget et al. JOURNAL OF MEDICINAL CHEMISTRY
- Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing
- (2016) Hansaim Lim et al. PLoS Computational Biology
- Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction
- (2016) Edgar D. Coelho et al. PLoS Computational Biology
- Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
- (2016) Yong Liu et al. PLoS Computational Biology
- Identification of drug–target interaction from interactome network with ‘guilt-by-association’ principle and topology features
- (2015) Zhan-Chao Li et al. BIOINFORMATICS
- Drug–target interaction prediction: databases, web servers and computational models
- (2015) Xing Chen et al. BRIEFINGS IN BIOINFORMATICS
- Identification of drug candidates and repurposing opportunities through compound–target interaction networks
- (2015) Anna Cichonska et al. Expert Opinion on Drug Discovery
- Kernel Target Alignment Parameter: A New Modelability Measure for Regression Tasks
- (2015) Gilles Marcou et al. Journal of Chemical Information and Modeling
- PUG-SOAP and PUG-REST: web services for programmatic access to chemical information in PubChem
- (2015) Sunghwan Kim et al. NUCLEIC ACIDS RESEARCH
- Tivozanib: Status of Development
- (2015) Muhammad Omer Jamil et al. Current Oncology Reports
- Toward more realistic drug-target interaction predictions
- (2014) T. Pahikkala et al. BRIEFINGS IN BIOINFORMATICS
- Drug–target interaction prediction via chemogenomic space: learning-based methods
- (2014) Zaynab Mousavian et al. Expert Opinion on Drug Metabolism & Toxicology
- Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis
- (2014) Jing Tang et al. Journal of Chemical Information and Modeling
- Current Compound Coverage of the Kinome
- (2014) Ye Hu et al. JOURNAL OF MEDICINAL CHEMISTRY
- A community effort to assess and improve drug sensitivity prediction algorithms
- (2014) James C Costello et al. NATURE BIOTECHNOLOGY
- UniProt: a hub for protein information
- (2014) NUCLEIC ACIDS RESEARCH
- Tracking cancer drugs in living cells by thermal profiling of the proteome
- (2014) M. M. Savitski et al. SCIENCE
- A broad activity screen in support of a chemogenomic map for kinase signalling research and drug discovery
- (2013) Yinghong Gao et al. BIOCHEMICAL JOURNAL
- Drug–target interaction prediction through domain-tuned network-based inference
- (2013) Salvatore Alaimo et al. BIOINFORMATICS
- Predicting drug-target interactions using restricted Boltzmann machines
- (2013) Yuhao Wang et al. BIOINFORMATICS
- Learning a peptide-protein binding affinity predictor with kernel ridge regression
- (2013) Sébastien Giguère et al. BMC BIOINFORMATICS
- Similarity-based machine learning methods for predicting drug–target interactions: a brief review
- (2013) Hao Ding et al. BRIEFINGS IN BIOINFORMATICS
- QSAR Modeling: Where Have You Been? Where Are You Going To?
- (2013) Artem Cherkasov et al. JOURNAL OF MEDICINAL CHEMISTRY
- Efficient regularized least-squares algorithms for conditional ranking on relational data
- (2013) Tapio Pahikkala et al. MACHINE LEARNING
- The ChEMBL bioactivity database: an update
- (2013) A. Patrícia Bento et al. NUCLEIC ACIDS RESEARCH
- Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile
- (2013) Twan van Laarhoven et al. PLoS One
- Comparability of Mixed IC50 Data – A Statistical Analysis
- (2013) Tuomo Kalliokoski et al. PLoS One
- Exploring Chemical Space for Drug Discovery Using the Chemical Universe Database
- (2012) Jean-Louis Reymond et al. ACS Chemical Neuroscience
- Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
- (2012) M. Gonen BIOINFORMATICS
- New and continuing developments at PROSITE
- (2012) Christian J. A. Sigrist et al. NUCLEIC ACIDS RESEARCH
- Gaussian interaction profile kernels for predicting drug–target interaction
- (2011) Twan van Laarhoven et al. BIOINFORMATICS
- Combining Drug and Gene Similarity Measures for Drug-Target Elucidation
- (2011) Liat Perlman et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- Comprehensive assay of kinase catalytic activity reveals features of kinase inhibitor selectivity
- (2011) Theonie Anastassiadis et al. NATURE BIOTECHNOLOGY
- Comprehensive analysis of kinase inhibitor selectivity
- (2011) Mindy I Davis et al. NATURE BIOTECHNOLOGY
- Navigating the kinome
- (2011) James T Metz et al. Nature Chemical Biology
- Best Practices for QSAR Model Development, Validation, and Exploitation
- (2010) Alexander Tropsha Molecular Informatics
- MISTRAL: a tool for energy-based multiple structural alignment of proteins
- (2009) Cristian Micheletti et al. BIOINFORMATICS
- IC50-to-Ki: a web-based tool for converting IC50 to Ki values for inhibitors of enzyme activity and ligand binding
- (2009) R. Z. Cer et al. NUCLEIC ACIDS RESEARCH
- Chemical substructures that enrich for biological activity
- (2008) Justin Klekota et al. BIOINFORMATICS
- Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
- (2008) Y. Yamanishi et al. BIOINFORMATICS
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