Optimizing scoring function of protein-nucleic acid interactions with both affinity and specificity.

ABSTRACT: Protein-nucleic acid (protein-DNA and protein-RNA) recognition is fundamental to the regulation of gene expression. Determination of the structures of the protein-nucleic acid recognition and insight into their interactions at molecular level are vital to understanding the regulation function. Recently, quantitative computational approach has been becoming an alternative of experimental technique for predicting the structures and interactions of biomolecular recognition. However, the progress of protein-nucleic acid structure prediction, especially protein-RNA, is far behind that of the protein-ligand and protein-protein structure predictions due to the lack of reliable and accurate scoring function for quantifying the protein-nucleic acid interactions. In this work, we developed an accura

SUBMITTER: Yan Z 

PROVIDER: S-EPMC3787031 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature