Title :
An evolutionary-guided iterative refinement approach for protein multimers
Author :
Akbal-Delibas, B. ; Haspel, Nurit
Author_Institution :
Dept. of Comput. Sci., UMass Boston, Boston, MA, USA
Abstract :
Protein complexes play a central role in many cellular processes and the detection of protein complexes and their structures is crucial for understanding the role of protein complexes in the basic biology of organisms. Computational docking methods use structural and geometric search techniques and physico-chemical filters to model complex binding and rank computed structures according to energetic criteria using scoring functions. The results generated by such computational methods are expected to be low-energy structures that are similar to the native complex structures. Unfortunately, computational docking methods are often inaccurate [1] and need to be further refined in order to obtain native-like structures.
Keywords :
biochemistry; iterative methods; molecular biophysics; molecular configurations; proteins; cellular processes; complex binding model; computational docking methods; computational methods; computed structures; energetic criteria; evolutionary-guided iterative refinement approach; geometric techniques; low-energy structures; native complex structures; physicochemical filters; protein complex detection; protein complex structures; protein multimers; structural techniques; Bioinformatics; Biological system modeling; Computational modeling; Conferences; Force; Protein engineering; Proteins;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2746-6
Electronic_ISBN :
978-1-4673-2744-2
DOI :
10.1109/BIBMW.2012.6470273