PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL and Matej ANTOL. AlphaFind: Discover structure similarity across the entire known proteome. bioRxiv, 2024.
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Basic information
Original name AlphaFind: Discover structure similarity across the entire known proteome
Authors PROCHÁZKA, David, Terézia SLANINÁKOVÁ, Jaroslav OĽHA, Adrián ROŠINEC, Katarína GREŠOVÁ, Miriama JÁNOŠOVÁ, Jakub ČILLÍK, Jana PORUBSKÁ, Radka SVOBODOVÁ, Vlastislav DOHNAL and Matej ANTOL.
Edition 2024.
Publisher bioRxiv
Other information
Type of outcome Research report
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW AlphaFind web application Pre-print
Organization unit Faculty of Informatics
Keywords in English Protein structure similarity;Learned metric index;Learned indexing;Protein structure search;AlphaFold DB
Tags DISA, learned indexing, LMI, protein structures
Tags International impact
Changed by Changed by: RNDr. Terézia Slanináková, učo 445526. Changed: 19/2/2024 10:17.
Abstract
AlphaFind is a web-based search engine that provides fast structure-based retrieval in the entire set of AlphaFold DB structures. Unlike other protein processing tools, AlphaFind is focused entirely on tertiary structure, automatically extracting the main 3D features of each protein chain and using a machine learning model to find the most similar structures. This indexing approach and the 3D feature extraction method used by AlphaFind have both demonstrated remarkable scalability to large datasets as well as to large protein structures. The web application itself has been designed with a focus on clarity and ease of use. The searcher accepts any valid Uniprot ID, PDB ID or gene symbol as input, and returns a set of similar protein chains from AlphaFold DB, including various similarity metrics between the query and each of the retrieved results. In addition to the main search functionality, the application provides 3D visualizations of protein structure superpositions in order to allow researchers to instantly analyze the structural similarity of the retrieved results. The AlphaFind web application is available online for free and without any registration at https://alphafind.fi.muni.cz.
Links
GF23-07040K, research and development projectName: Naučené indexy pro podobností hledání
Investor: Czech Science Foundation, Learned Indexing for Similarity Searching, Lead Agency
LM2023055, research and development projectName: Česká národní infrastruktura pro biologická data
Investor: Ministry of Education, Youth and Sports of the CR, ELIXIR-CZ: Czech National Infrastructure for Biological Data
721/2023, interní kód MUName: Prohledávání velkých sad proteinů na základě podobnosti jejich struktur postaveno na učeném metrickém indexu
Investor: CESNET
90254, large research infrastructuresName: e-INFRA CZ II
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