Ivanov Stefan

Energetic Fingerprinting of Ligand Binding to Paralogous Proteins: The Case of the Apoptotic Pathway

Published date : 24 Dec 2018

Networks of biological molecules are key to cellular function, governing processes ranging from signal cascade propagation to metabolic pathway regulation. Genetic duplication processes give rise to sets of regulatory proteins that have evolved from a common ancestor, leading to interactomes whose dysregulation is often associated with disease. A better understanding of the determinants of specificity at 21 interfaces shared by functionally related proteins is crucial to the rational design of novel pharmacotherapeutic agents.

type
Journal Paper
journal
Journal of Chemical Inofrmation and Modeling, 2018 Dec 24. doi: 10.1021/acs.jcim.8b00765
Impact Factor
3.804

Protein-protein interactions in paralogues: Electrostatics modulates specificity on a conserved steric scaffold

Published date : 17 Oct 2017

An improved knowledge of protein-protein interactions is essential for better understanding of metabolic and signaling networks, and cellular function. Progress tends to be based on structure determination and predictions using known structures, along with computational methods based on evolutionary information or detailed atomistic descriptions.

type
Journal Paper
journal
PLOS ONE, 10 Oct 2017, doi: 10.1371/journal.pone.018592
Impact Factor
2.806

Energetics and Dynamics Across the Bcl-2-Regulated Apoptotic Pathway Reveal Distinct Evolutionary Determinants of Specificity and Affinity

Published date : 20 Oct 2016

Critical regulatory pathways are replete with instances of intra- and interfamily protein-protein interactions due to the pervasiveness of gene duplication throughout evolution. Discerning the specificity determinants within these systems has proven a challenging task. Here, we present an energetic analysis of the specificity determinants within the Bcl-2 family of proteins (key regulators of the intrinsic apoptotic pathway) via a total of ∼20 μs of simulation of 60 distinct protein-protein complexes.

type
Journal Paper
journal
Structure, Vol 24, Issue 11, pg 2024-2033, 1 Nov 2016, doi: 10.1016/j.str.2016.09.006
Impact Factor
5.237