Pregled bibliografske jedinice broj: 555802
Prediction of interacting protein residues using sequence and structure data.
Prediction of interacting protein residues using sequence and structure data. // Computational Drug Discovery and Design / Riccardo Baron (ur.).
New York (NY) : Dordrecht : Heidelberg : London: Springer, 2012. str. 233-251
CROSBI ID: 555802 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prediction of interacting protein residues using sequence and structure data.
Autori
Franke, Vedran ; Šikić, Mile ; Vlahoviček, Kristian
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Computational Drug Discovery and Design
Urednik/ci
Riccardo Baron
Izdavač
Springer
Grad
New York (NY) : Dordrecht : Heidelberg : London
Godina
2012
Raspon stranica
233-251
ISBN
978-1-61779-464-3
Ključne riječi
Random Forest, protein interactions, prediction
Sažetak
Identifying hotspots responsible for protein interactions with other macromolecules or drugs provides insight info functional aspects of the protein network, and is a pivotal task in systems biology and drug discovery. Here we present the protocol for the application of a machine learning method – Random Forest – to prediction of interacting residues in proteins, based on either the structural parameters or the primary sequence alone.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1987 - Modeliranje kompleksnih sustava (Jeren, Branko, MZO ) ( CroRIS)
119-0982913-1211 - Računalna genomika mikrobnih okoliša i bioinformatika ekstremofila (Vlahoviček, Kristian, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Prirodoslovno-matematički fakultet, Zagreb
