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      MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Affinities

      , , , , ,
      Cell Systems
      Elsevier BV

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          AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

          AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user. Copyright 2009 Wiley Periodicals, Inc.
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            The Protein Data Bank.

            The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
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              Gradient-based learning applied to document recognition

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                Author and article information

                Journal
                Cell Systems
                Cell Systems
                Elsevier BV
                24054712
                April 2020
                April 2020
                : 10
                : 4
                : 308-322.e11
                Article
                10.1016/j.cels.2020.03.002
                50026735-4dce-4789-8e4c-e9f56b69890e
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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