Markov propagation of allosteric effects in biomolecular systems: application to GroEL-GroES.

ABSTRACT: We introduce a novel approach for elucidating the potential pathways of allosteric communication in biomolecular systems. The methodology, based on Markov propagation of 'information' across the structure, permits us to partition the network of interactions into soft clusters distinguished by their coherent stochastics. Probabilistic participation of residues in these clusters defines the communication patterns inherent to the network architecture. Application to bacterial chaperonin complex GroEL-GroES, an allostery-driven structure, identifies residues engaged in intra- and inter-subunit communication, including those acting as hubs and messengers. A number of residues are distinguished by their high potentials to transmit allosteric signals, including Pro33 and Thr90 at the nucleotide-b

SUBMITTER: Chennubhotla C 

PROVIDER: S-EPMC1681507 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature