Repository logo
 
Publication

CavVis - A field-of-view geometric algorithm for protein cavity detection

dc.contributor.authorSimões, Tiago M. C.
dc.contributor.authorGomes, Abel
dc.date.accessioned2020-01-15T10:08:40Z
dc.date.available2020-01-15T10:08:40Z
dc.date.issued2019
dc.description.abstractSeveral geometric-based methods have been developed for the last two to three decades to detect and identify cavities (i.e., putative binding sites) on proteins, as needed to study protein–ligand interactions and protein docking. This paper introduces a new protein cavity method, called CavVis, which combines voxelization (i.e., a grid of voxels) and an analytic formulation of Gaussian surfaces that approximates the solvent-excluded surface. This method builds upon visibility of points on protein surface to find its cavities. Specifically, the visibility criterion combines three concepts we borrow from computer graphics, the field-of-view of each surface point, voxel ray casting, and back-face culling.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citation2019-SimoesGomespt_PT
dc.identifier.doi10.1021/acs.jcim.8b00572pt_PT
dc.identifier.issn1549-9596
dc.identifier.urihttp://hdl.handle.net/10400.6/8295
dc.language.isoengpt_PT
dc.publisherAmerican Chemical Societypt_PT
dc.relation.publisherversionhttps://pubs.acs.org/doi/10.1021/acs.jcim.8b00572pt_PT
dc.subjectProtein pocketpt_PT
dc.subjectProtein pocket detectionpt_PT
dc.subjectProtein cavitypt_PT
dc.subjectProtein cavity detectionpt_PT
dc.subjectMolecular graphicspt_PT
dc.titleCavVis - A field-of-view geometric algorithm for protein cavity detectionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage796pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage786pt_PT
oaire.citation.titleJournal of Chemical Information and Modelingpt_PT
oaire.citation.volume59pt_PT
person.familyNameSimões
person.familyNamePadrão Gomes
person.givenNameTiago Miguel Carrola
person.givenNameAbel João
person.identifiervVp4XfYAAAAJ&hl
person.identifierH-9602-2014
person.identifier.ciencia-idFA1F-AB0F-45A4
person.identifier.ciencia-idEC1D-4ACD-6A62
person.identifier.orcid0000-0001-8858-0027
person.identifier.orcid0000-0002-5804-5717
person.identifier.scopus-author-id8325080300
rcaap.embargofctO acesso é fechado porque a revista não é de acesso aberto.pt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationf86596ac-8268-41bb-8a3e-179263470fb8
relation.isAuthorOfPublicationf3343549-f3b7-4eb3-a67c-e3bea4c8358e
relation.isAuthorOfPublication.latestForDiscoveryf86596ac-8268-41bb-8a3e-179263470fb8

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2019-Simoes.pdf
Size:
3.35 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: