Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-6135
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Barthels, Fabian | - |
dc.contributor.author | Schirmeister, Tanja | - |
dc.contributor.author | Kersten, Christian | - |
dc.date.accessioned | 2021-06-29T09:18:31Z | - |
dc.date.available | 2021-06-29T09:18:31Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/6144 | - |
dc.description.abstract | The analysis of B-factor profiles from X-ray protein structures can be utilized for structure-based drug design since protein mobility changes have been associated with the quality of protein-ligand interactions. With the BANΔIT (B’-factor analysis and ΔB’ interpretation toolkit), we have developed a JavaScript-based browser application that provides a graphical user interface for the normalization and analysis of B’-factor profiles. To emphasize the usability for rational drug design applications, we have analyzed a selection of crystallographic protein-ligand complexes and have given exemplary conclusions for further drug optimization including the development of a B’-factor-supported pharmacophore model for SARS CoV-2 main protease inhibitors. BANΔIT is available online at https://bandit.uni-mainz.de. The source code can be downloaded from https://github.com/FBarthels/BANDIT. | en_GB |
dc.language.iso | eng | de |
dc.rights | CC BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.ddc | 570 Biowissenschaften | de_DE |
dc.subject.ddc | 570 Life sciences | en_GB |
dc.title | BANΔIT: B’-factor analysis for drug design and structural biology | en_GB |
dc.type | Zeitschriftenaufsatz | de |
dc.identifier.doi | http://doi.org/10.25358/openscience-6135 | - |
jgu.type.dinitype | article | en_GB |
jgu.type.version | Published version | de |
jgu.type.resource | Text | de |
jgu.organisation.department | FB 09 Chemie, Pharmazie u. Geowissensch. | de |
jgu.organisation.number | 7950 | - |
jgu.organisation.name | Johannes Gutenberg-Universität Mainz | - |
jgu.rights.accessrights | openAccess | - |
jgu.journal.title | Molecular informatics | de |
jgu.journal.volume | 40 | de |
jgu.journal.issue | 1 | de |
jgu.pages.alternative | 2000144 | de |
jgu.publisher.year | 2021 | - |
jgu.publisher.name | Wiley-VCH | de |
jgu.publisher.place | Weinheim | de |
jgu.publisher.uri | https://doi.org/10.1002/minf.202000144 | de |
jgu.publisher.issn | 1868-1751 | de |
jgu.organisation.place | Mainz | - |
jgu.subject.ddccode | 570 | de |
jgu.publisher.doi | 10.1002/minf.202000144 | |
jgu.organisation.ror | https://ror.org/023b0x485 | |
Appears in collections: | JGU-Publikationen |
Files in This Item:
File | Description | Size | Format | ||
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barthels_fabian-banδit__b’-fac-20210628203840983.pdf | 4.85 MB | Adobe PDF | View/Open |