Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure
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DOI: 10.1371/journal.pcbi.1000585
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References listed on IDEAS
- Wenxu Tong & Ying Wei & Leonel F Murga & Mary Jo Ondrechen & Ronald J Williams, 2009. "Partial Order Optimum Likelihood (POOL): Maximum Likelihood Prediction of Protein Active Site Residues Using 3D Structure and Sequence Properties," PLOS Computational Biology, Public Library of Science, vol. 5(1), pages 1-15, January.
- Yanay Ofran & Burkhard Rost, 2007. "Protein–Protein Interaction Hotspots Carved into Sequences," PLOS Computational Biology, Public Library of Science, vol. 3(7), pages 1-8, July.
- Kai Wang & Jeremy A Horst & Gong Cheng & David C Nickle & Ram Samudrala, 2008. "Protein Meta-Functional Signatures from Combining Sequence, Structure, Evolution, and Amino Acid Property Information," PLOS Computational Biology, Public Library of Science, vol. 4(9), pages 1-13, September.
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- Jhih-Wei Jian & Pavadai Elumalai & Thejkiran Pitti & Chih Yuan Wu & Keng-Chang Tsai & Jeng-Yih Chang & Hung-Pin Peng & An-Suei Yang, 2016. "Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-34, August.
- Matteo Cagiada & Sandro Bottaro & Søren Lindemose & Signe M. Schenstrøm & Amelie Stein & Rasmus Hartmann-Petersen & Kresten Lindorff-Larsen, 2023. "Discovering functionally important sites in proteins," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Sérgio Dias & Tiago Simões & Francisco Fernandes & Ana Mafalda Martins & Alfredo Ferreira & Joaquim Jorge & Abel J P Gomes, 2019. "CavBench: A benchmark for protein cavity detection methods," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-16, October.
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