A novel interaction fingerprint derived from per atom score contributions

dc.contributor.authorKoch, Oliver
dc.contributor.authorJasper, Julia B.
dc.contributor.authorHumbeck, Lina
dc.contributor.authorBrinkjost, Tobias
dc.date.accessioned2019-04-23T12:50:32Z
dc.date.available2019-04-23T12:50:32Z
dc.date.issued2018-03-16
dc.description.abstractProtein ligand interaction fingerprints are a powerful approach for the analysis and assessment of docking poses to improve docking performance in virtual screening. In this study, a novel interaction fingerprint approach (PADIF, protein per atom score contributions derived interaction fingerprint) is presented which was specifically designed for utilising the GOLD scoring functions’ atom contributions together with a specific scoring scheme. This allows the incorporation of known protein–ligand complex structures for a target-specific scoring. Unlike many other methods, this approach uses weighting factors reflecting the relative frequency of a specific interaction in the references and penalizes destabilizing interactions. In addition, and for the first time, an exhaustive validation study was performed that assesses the performance of PADIF and two other interaction fingerprints in virtual screening. Here, PADIF shows superior results, and some rules of thumb for a successful use of interaction fingerprints could be identified.en
dc.identifier.urihttp://hdl.handle.net/2003/38023
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20006
dc.language.isoende
dc.relation.ispartofseriesJournal of Cheminformatics;
dc.subjectInteraction fingerprintsen
dc.subjectDockingen
dc.subjectProtein ligand interactionsen
dc.subjectScoringen
dc.subjectPose predictionen
dc.subjectVirtual screeningen
dc.subjectScaffold hoppingen
dc.subject.ddc570
dc.subject.ddc540
dc.titleA novel interaction fingerprint derived from per atom score contributionsen
dc.title.alternativeexhaustive evaluation of interaction fingerprint performance in docking based virtual screeningen
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationJournal of cheminformatics : Jg.: 10. 2018 | S. 15-1-15-13de
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1186/s13321-018-0264-0de

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
document.pdf
Size:
2.74 MB
Format:
Adobe Portable Document Format
Description:
DNB
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.85 KB
Format:
Item-specific license agreed upon to submission
Description: