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BCL: : Contact-Low Confidence Fold Recognition Hits Boost Protein Contact Prediction and De Novo Structure Determination., , and . J. Comput. Biol., 17 (2): 153-168 (2010)Improved prediction of trans-membrane spans in proteins using an artificial neural network., , and . CIBCB, page 68-74. IEEE, (2009)BCL: : Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database., , , and . J. Chem. Inf. Model., 61 (1): 189-201 (2021)Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs., , and . PLoS Comput. Biol., (2020)Rosetta design with co-evolutionary information retains protein function., , , and . PLoS Comput. Biol., (2021)BCL: : Conf: small molecule conformational sampling using a knowledge based rotamer library., , and . J. Cheminformatics, (2015)Automated Structure Elucidation of Organic Molecules from 13C NMR Spectra Using Genetic Algorithms and Neural Networks., and . Journal of Chemical Information and Computer Sciences, 41 (6): 1535-1546 (2001)PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST., , , , , , , , , and . BMC Bioinform., 21 (1): 314 (2020)GPU-accelerated machine learning techniques enable QSAR modeling of large HTS data., , , and . CIBCB, page 314-320. IEEE, (2012)Simultaneous prediction of binding free energy and specificity for PDZ domain-peptide interactions., , , and . J. Comput. Aided Mol. Des., 27 (12): 1051-1065 (2013)