Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/2089
Title: DistAA: Database of amino acid distances in proteins and web application for statistical review of distances
Authors: Maljković Ružičić, Mirjana 
Affiliations: Informatics and Computer Science 
Keywords: Database;Descriptive statistics;Distance graphs;Geometric distances;PDB;Web application
Issue Date: Dec-2019
Rank: M22
Publisher: Elsevier
Journal: Computational biology and chemistry
Abstract: 
Three-dimensional structure of a protein chain is determined by its amino acid interactions. One approach to the analysis of amino acid interactions refers to geometric distances of amino acid pairs in polypeptide chains. For a detailed analysis of the amino acid distances, the database with three types of amino acid distances in a set of chains was created. Web application Distances of Amino Acids has also been developed to enable scientists to explore interactions of amino acids with different properties based on distances stored in the database. Web application calculates and displays descriptive statistics and graphs of amino acid pair distances with selected properties, such as geometric distance threshold, corresponding SCOP class of proteins and secondary structure types. In addition to the analysis of pre-calculated distances stored in the database, the amino acid distances of a single protein with the specified PDB identifier can also be analyzed. The web application is available at http://andromeda.matf.bg.ac.rs/aadis_dynamic/.
URI: https://research.matf.bg.ac.rs/handle/123456789/2089
ISSN: 14769271
DOI: 10.1016/j.compbiolchem.2019.107130
Appears in Collections:Research outputs

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