Protein-protein interactions: Organization, cooperativity and mapping in a bottom-up Systems Biology approach

Ozlem Keskin*, Buyong Ma, Kristina Rogale, K. Gunasekaran, Ruth Nussinov

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

105 Scopus citations

Abstract

Understanding and ultimately predicting protein associations is immensely important for functional genomics and drug design. Here, we propose that binding sites have preferred organizations. First, the hot spots cluster within densely packed 'hot regions'. Within these regions, they form networks of interactions. Thus, hot spots located within a hot region contribute cooperatively to the stability of the complex. However, the contributions of separate, independent hot regions are additive. Moreover, hot spots are often already pre-organized in the unbound (free) protein states. Describing a binding site through independent local hot regions has implications for binding site definition, design and parametrization for prediction. The compactness and cooperativity emphasize the similarity between binding and folding. This proposition is grounded in computation and experiment. It explains why summation of the interactions may over-estimate the stability of the complex. Furthermore, statistically, charge-charge coupling of the hot spots is disfavored. However, since within the highly packed regions the solvent is screened, the electrostatic contributions are strengthened. Thus, we propose a new description of protein binding sites: a site consists of (one or a few) self-contained cooperative regions. Since the residue hot spots are those conserved by evolution, proteins binding multiple partners at the same sites are expected to use all or some combination of these regions.

Original languageEnglish
Pages (from-to)S24-S35
JournalPhysical Biology
Volume2
Issue number2
DOIs
StatePublished - 1 Jun 2005

Funding

FundersFunder number
National Cancer InstituteZ01BC010441

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