Iakovou, Georgios, Alhazzazi, Mousa ORCID: https://orcid.org/0000-0001-7451-2509, Hayward, Steven ORCID: https://orcid.org/0000-0001-6959-2604 and Laycock, Stephen D. (2020) DockIT: A tool for interactive molecular docking and molecular complex construction. Bioinformatics, 36 (24). 5698–5700. ISSN 1367-4803
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Abstract
Summary: DockIT is a tool that has a unique set of physical and graphical features for interactive molecular docking. It enables the user to bring a ligand and a receptor into a docking pose by con-trolling the ligand position, either with a mouse and keyboard, or with a haptic device. Atomic inter-actions are modelled using molecular dynamics-based force-fields with the force on the ligand being felt on a haptic device. Real-time calculation and display of intermolecular hydrogen bonds and multipoint collision detection either using maximum force or maximum atomic overlap, mean that together with the ability to monitor selected intermolecular atomic distances, the user can find physically feasible docking poses that satisfy distance constraints derived from experimental methods. With these features and the ability to output and reload docked structures it can be used to accurately build up large multi-component molecular systems in preparation for molecular dy-namics simulation. Availability and Implementation: DockIT is available free of charge for non-commercial use at http://haptimol.co.uk/dockit/dockit.zip. It requires a windows computer with GPU that supports OpenCL 1.2 and OpenGL 4.0. It may be used with a mouse and keyboard, or a haptic device from 3DSystems.
Item Type: | Article |
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Additional Information: | First published online: 26 December 2020 Journal issue date: 15 December 2020 |
Uncontrolled Keywords: | statistics and probability,biochemistry,molecular biology,computer science applications,computational theory and mathematics,computational mathematics ,/dk/atira/pure/subjectarea/asjc/2600/2613 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Interactive Graphics and Audio |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 10 Dec 2020 00:46 |
Last Modified: | 31 Jan 2024 02:51 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/77939 |
DOI: | 10.1093/bioinformatics/btaa1059 |
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