2016
DOI: 10.1101/053603
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Markov models of the apo-MDM2 lid region reveal diffuse yet two-state binding dynamics and receptor poses for computational docking

Abstract: MDM2 is a negative regulator of p53 activity and an important target for cancer therapeutics. The N-terminal lid region of MDM2 modulates interactions with p53 via competition for its binding cleft, exchanging slowly between docked and undocked conformations in the absence of p53. To better understand these dynamics, we constructed Markov State Models (MSMs) from large collections of unbiased simulation trajectories of apo-MDM2, and find strong evidence for diffuse, yet two-state folding and binding of the N-t… Show more

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Cited by 4 publications
(4 citation statements)
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“…13,14,21,22 Moreover, the NMR structure of free MDM2 shows that it must adjust upon TAD binding to accommodate the peptide. 23 Other NMR experiments 24,25 and simulations 26 interpreted in the light of the crystal structure 11 demonstrate that residues 19−23 in MDM2 partially covers the p53 TAD-binding site and obstructs the interaction. The opening and closing of this helix were detected in NMR experiments at 25 °C.…”
Section: ■ Resultsmentioning
confidence: 99%
“…13,14,21,22 Moreover, the NMR structure of free MDM2 shows that it must adjust upon TAD binding to accommodate the peptide. 23 Other NMR experiments 24,25 and simulations 26 interpreted in the light of the crystal structure 11 demonstrate that residues 19−23 in MDM2 partially covers the p53 TAD-binding site and obstructs the interaction. The opening and closing of this helix were detected in NMR experiments at 25 °C.…”
Section: ■ Resultsmentioning
confidence: 99%
“…Thus, to tackle the challenges of inefficient CDR loop sampling and capturing relevant backbone conformations, we used a wellestablished protocol to kinetically define CDR loop structures by capturing conformational transitions in the micro-to millisecond timescale. The combination of molecular dynamics simulation protocols with Markov-state models has already been shown to sample kinetically relevant binding competent conformations, which are suitable for docking and drug design (Amaro et al, 2018;Mukherjee et al, 2016;Salmaso and Moro, 2018;Torchala et al, 2013). We also observe that these kinetically dominant antibody conformations are indeed chosen by the antigen with the highest probability.…”
Section: Discussionmentioning
confidence: 66%
“…46 Previous studies with this forcefield have also given a reasonable description of the MDM2 lid IDR dynamics. 38,39,47…”
Section: Resultsmentioning
confidence: 99%