Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A fast protein-ligand docking method
University of Skövde, School of Humanities and Informatics.
2006 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this dissertation a novel approach to protein-ligand docking is presented. First an existing method to predict putative active sites is employed. These predictions are then used to cut down the search space of an algorithm that uses the fast Fourier transform to calculate the geometrical and electrostatic complementarity between a protein and a small organic ligand. A simplified hydrophobicity score is also calculated for each active site. The docking method could be applied either to dock ligands in a known active site or to rank several putative active sites according to their biological feasibility. The method was evaluated on a set of 310 protein-ligand complexes. The results show that with respect to docking the method with its initial parameter settings is too coarse grained. The results also show that with respect to ranking of putative active sites the method works quite well.

Place, publisher, year, edition, pages
2006. , p. 74
Keywords [en]
protein-ligand docking, molecular modelling, putative active sites ranking, fast Fourier transform
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:his:diva-69OAI: oai:DiVA.org:his-69DiVA, id: diva2:3087
Presentation
(English)
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Examiners
Available from: 2007-06-13 Created: 2007-06-13 Last updated: 2018-01-12

Open Access in DiVA

fulltext(946 kB)894 downloads
File information
File name FULLTEXT01.pdfFile size 946 kBChecksum SHA-1
8a783ca240f22c5d8c5b032d23f3d36c7002a4a9bef4c02ab60d556e96689dfd001e8297
Type fulltextMimetype application/pdf

By organisation
School of Humanities and Informatics
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar
Total: 894 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 529 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf