Paper Info
Title
Prediction Of Functional Sites Based On The Fuzzy Oil Drop Model
Abstract
A description of many biological processes requires knowledge of the 3-D structure of proteins and, in particular, the defined active site responsible for biological function. Many proteins, the genes of which have been identified as the result of human genome sequencing, and which were synthesized experimentally, await identification of their biological activity. Currently used methods do not always yield satisfactory results, and new algorithms need to be developed to recognize the localization of active sites in proteins. This paper describes a computational model that can be used to identify potential areas that are able to interact with other molecules (ligands, substrates, inhibitors, etc.). The model for active site recognition is based on the analysis of hydrophobicity distribution in protein molecules. It is shown, based on the analyses of proteins with known biological activity and of proteins of unknown function, that the region of significantly irregular hydrophobicity distribution in proteins appears to be function related.
Year
DOI
Venue
2007
10.1371/journal.pcbi.0030094
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
biological activity,active site,amino acid sequence,protein binding,binding sites,algorithms,human genome,biological process,sequence alignment,fuzzy logic,protein structure,structural genomics,computer model,protein structure prediction,computer simulation
Sequence alignment,Protein structure prediction,Plasma protein binding,Structural genomics,Binding site,Biology,Function (biology),Active site,Bioinformatics,Protein structure
Journal
Volume
Issue
ISSN
3
5
1553-734X
Citations 
PageRank 
References 
9
0.51
11
Authors
7
Name
Order
Citations
PageRank
Michal Brylinski112412.16
Katarzyna Prymula2172.68
Wiktor Jurkowski3183.14
Marek Kochanczyk4172.89
Ewa Stawowczyk590.51
Leszek Konieczny66722.55
Irena Roterman77830.08