Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107252
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | en_US |
| dc.creator | Wong, GY | en_US |
| dc.creator | Leung, FHF | en_US |
| dc.creator | Ling, SSH | en_US |
| dc.date.accessioned | 2024-06-13T01:04:54Z | - |
| dc.date.available | 2024-06-13T01:04:54Z | - |
| dc.identifier.isbn | 978-1-5090-3474-1 (Electronic) | en_US |
| dc.identifier.isbn | 978-1-5090-3475-8 (Print on Demand(PoD)) | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/107252 | - |
| dc.description | IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 23-26 October 2016, Florence, Italy | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication G. Y. Wong, F. H. F. Leung and S. S. H. Ling, "Identification of protein-ligand binding site using multi-clustering and Support Vector Machine," IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, 2016, pp. 939-944 is available at https://doi.org/10.1109/IECON.2016.7793821. | en_US |
| dc.subject | Multi-clustering | en_US |
| dc.subject | Protein-ligand binding site | en_US |
| dc.subject | SVM | en_US |
| dc.title | Identification of protein-ligand binding site using multi-clustering and Support Vector Machine | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.spage | 939 | en_US |
| dc.identifier.epage | 944 | en_US |
| dc.identifier.doi | 10.1109/IECON.2016.7793821 | en_US |
| dcterms.abstract | Multi-clustering has been widely used. It acts as a pre-training process for identifying protein-ligand binding in structure-based drug design. Then, the Support Vector Machine (SVM) is employed to classify the sites most likely for binding ligands. Three types of attributes are used, namely geometry-based, energy-based, and sequence conservation. Comparison is made on 198 drug-target protein complexes with LIGSITECSC, SURFNET, Fpocket, Q-SiteFinder, ConCavity, and MetaPocket. The results show an improved success rate of up to 86%. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In Proceedings of IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 23-26 October 2016, Florence, Italy, p. 939-944 | en_US |
| dcterms.issued | 2016 | - |
| dc.identifier.scopus | 2-s2.0-85010064666 | - |
| dc.relation.conference | Annual Conference of the IEEE Industrial Electronics Society [IECON] | en_US |
| dc.description.validate | 202404 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | EIE-0784 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 9586672 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Leung_Identification_Protein-Ligand_Binding.pdf | Pre-Published version | 507.9 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
7
Citations as of Jun 30, 2024
SCOPUSTM
Citations
3
Citations as of Jun 21, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.