Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors
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DOI: 10.1371/journal.pcbi.1005678
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References listed on IDEAS
- Yong Liu & Min Wu & Chunyan Miao & Peilin Zhao & Xiao-Li Li, 2016. "Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-26, February.
- Hansaim Lim & Aleksandar Poleksic & Yuan Yao & Hanghang Tong & Di He & Luke Zhuang & Patrick Meng & Lei Xie, 2016. "Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing," PLOS Computational Biology, Public Library of Science, vol. 12(10), pages 1-26, October.
- Twan van Laarhoven & Elena Marchiori, 2013. "Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-6, June.
- Guha, Rajarshi, 2007. "Chemical Informatics Functionality in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i05).
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- Ryan Theisen & Tianduanyi Wang & Balaguru Ravikumar & Rayees Rahman & Anna Cichońska, 2024. "Leveraging multiple data types for improved compound-kinase bioactivity prediction," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
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