Analysis and
prediction of DNA-binding proteins and their binding residues based on
composition, sequence and structural information
2004/12/20
生資所碩二 簡國元
Abstract:
In this study, the author analyzed two dataset of transcription factor and protein-DNA complex using different factors: protein sequence composition, solvent accessibility and secondary structure. The predictive model developed by neural network which trained with information above. The purpose of the research is trying to distinguish the significances of DNA binding protein from non-binding ones.
Author: Shandar Ahmad, M. Michael Gromiha and Akinori Sarai
Source: Bioinformatics Vol. 20 no. 4 2004
Reference:
1.
Shandar Ahmad, M. Michael Gromiha and Akinori Sarai , Real Value
Prediction of Solvent Accessibility from Amino Acid Sequence
Proteins, 50 (2003) 629-635
2.
Luscombe
N M &