A study on allosteric communication in U1A-snRNA binding interactions: network analysis combined with molecular dynamics data

2020 ◽  
Vol 264 ◽  
pp. 106393 ◽  
Author(s):  
Qi Shao ◽  
Weikang Gong ◽  
Chunhua Li
2017 ◽  
Author(s):  
Emanuele Monza ◽  
George Blouin ◽  
Thomas G. Spiro ◽  
Victor Guallar

AbstractHemoglobin is the paradigm of cooperative protein-ligand binding. Cooperativity is the consequence of inter-subunit allosteric communication: binding at one site increases the affinity of the others. Despite half a century of studies, the mechanism behind oxygen binding in hemoglobin is not fully understood yet. In particular, it is not clear if cooperativity arises from preferential inter-subunit channels and which residues propagate the allosteric signal from one heme to the others. In this work, the heme-heme dynamical interactions have been mapped through a network-based analysis of residue conformational fluctuations, as described by molecular dynamics simulations. In particular, it was possible to suggest which inter-subunit interactions are mostly responsible of allosteric signalling and, within each pair of subunits, which protein fragments convey such signalling process.


Molecules ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 904 ◽  
Author(s):  
Arnold Amusengeri ◽  
Rolland Bantar Tata ◽  
Özlem Tastan Bishop

In this era of precision medicine, insights into the resistance mechanism of drugs are integral for the development of potent therapeutics. Here, we sought to understand the contribution of four point mutations (N51I, C59R, S108N, and I164L) within the active site of the malaria parasite enzyme dihydrofolate reductase (DHFR) towards the resistance of the antimalarial drug pyrimethamine. Homology modeling was used to obtain full-length models of wild type (WT) and mutant DHFR. Molecular docking was employed to dock pyrimethamine onto the generated structures. Subsequent all-atom molecular dynamics (MD) simulations and binding free-energy computations highlighted that pyrimethamine’s stability and affinity inversely relates to the number of mutations within its binding site and, hence, resistance severity. Generally, mutations led to reduced binding affinity to pyrimethamine and increased conformational plasticity of DHFR. Next, dynamic residue network analysis (DRN) was applied to determine the impact of mutations and pyrimethamine binding on communication dispositions of DHFR residues. DRN revealed residues with distinctive communication profiles, distinguishing WT from drug-resistant mutants as well as pyrimethamine-bound from pyrimethamine-free models. Our results provide a new perspective on the understanding of mutation-induced drug resistance.


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