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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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