Abstract
Computer assisted drug design (CADD) is a process involving the execution of many computer programs, ensuring that the ligand binds optimally to its receptor. This process is usually executed using shell scripts which input parameters assignments and result analyses are complex and time consuming. Moreover, receptors and ligands are naturally flexible molecules. In order to explicitly model the receptor flexibility during molecular docking experiments, we propose to use different receptor conformations derived from a molecular dynamics simulation trajectory. This work presents an integrated scientific workflow solution aiming at automating molecular docking with explicit inclusion of receptor flexibility. Enhydra JAWE and Shark software tools were used to model and execute workflows, respectively. To test our approach we performed docking experiments with the M. tuberculosis enzyme InhA (receptor) and three ligands: NADH, IPCF and TCL. The results illustrate the effectiveness of both the proposed workflow and the implementation of the docking processes.
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Machado, K.S., Schroeder, E.K., Ruiz, D.D., Norberto de Souza, O. (2007). Automating Molecular Docking with Explicit Receptor Flexibility Using Scientific Workflows. In: Sagot, MF., Walter, M.E.M.T. (eds) Advances in Bioinformatics and Computational Biology. BSB 2007. Lecture Notes in Computer Science(), vol 4643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73731-5_1
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DOI: https://doi.org/10.1007/978-3-540-73731-5_1
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