Identification of interface residues involved in protein-protein and protein-DNA interactions from sequence using machine learning

منو

" Identification of interface residues involved in protein-protein and protein-DNA interactions from sequence using machine learning "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149221
Doc. No	:	ET21013
Main Entry	:	Changhui Yan
Title Proper	:	Identification of interface residues involved in protein-protein and protein-DNA interactions from sequence using machine learning
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Protein-protein interactions and protein-DNA interactions are among the ubiquitoustypes of macromolecule interactions in biological systems. Revealing the mechanisms ofprotein-protein and protein-DNA interactions is crucial for understanding the functions ofbiological systems. Identification of amino acid residues that contribute to the specificityand affinity of such interactions is very important for understanding macromolecularfunctions and has broad therapeutic applications. Genome sequencing and proteomicsprojects have provided lists of macromolecules potentially present in several organisms(Morgan, 2001; Venter, et al., 2001). Elucidating the structures and interactions among thesemacromolecules has become a critical challenge in functional genomics.Various experimental methods have been used to identify interface residues involved inprotein-protein and protein-DNA interactions. In the structure determination approach,structures of complexes are determined primarily using X-ray crystallography (Smyth and.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44160.pdf
Title and statement of responsibility and	:	Identification of interface residues involved in protein-protein and protein-DNA interactions from sequence using machine learning [Thesis]