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Barros, E. P.

Publications and source records attributed to Barros, E. P..

5 recordsLinked to original sources

Towards In Situ Dynamics of DNA-bound Full-Length p53 Tetramer

p53 is the most important tumor suppressor in humans as well as the most frequently mutated gene found in human cancers with [~]50% of all human tumors bearing p53 missense mutations that leave p53 inactive. Restoring the p53 activity proved to lead to tumor regression even in advanced tumors in mouse models-- and thus, is among the most attractive potential strategies for novel cancer therapy. Full-length p53 (fl-p53) consists of 393 residues and multiple domains; some folded and some disordered. Using crystal structures of folded domains and integrative molecular modelling techniques for disordered domains, we generated the first wild-type fl-p53 tetramer model bound to DNA. When solvated, the system size nears 500K atoms challenging extensive sampling. Using Anton2 supercomputer for microsecond-timescale simulations in explicit solvent and the rigorous Markov state model (MSM) framework, we elucidated the conformational landscape of wild-type p53 as well as two of the p53 hot-spot cancer mutants, Y220C and G245S, in a physiological DNA-bound, full-length tetramer context. In the simulated timescale, DNA-bound fl-p53 tetramer bent DNA and formed a compact complex with interactions between the N-terminal and DNA-binding domains (DBDs), and the C-terminal domains (CTDs) with DNA. WT fl-p53 tetramer also sampled a unique quaternary DBD organization not accessed by the cancer mutants. Free energy landscapes indicated differential dynamics for inner and outer p53 DBDs due to the dimer-dimer interface. The dynamics of the druggable L1/S3 pocket is also closely monitored. Ultimately the MSMs identified an underexplored loop 6 (L6) cryptic pocket and captured the effect of p53 tetramerization and cancer mutations. Significancep53, the most important tumor suppressor in humans, is found inactivated due to single point mutations in almost 50% of all human tumors. As restoring p53 activity is shown to achieve tumor regression even in advanced tumors in mice, there is a lot of interest in finding small molecules to reactivate p53 cancer mutants. p53 has 393 residues and is an intrinsically disordered protein with multiple unstructured and dynamic domains that are known to interact with and help the function of its folded domains. Adding another level of complexity, p53 forms a tetramer to bind DNA and start its transcriptional activity. Due to its high dynamicity, p53 evades full structural characterization leaving many open questions. We generated an integrative model weaving together structures of isolated p53 domains and explored it with molecular dynamics simulations at microsecond timescale. This allowed us to monitor various unresolved aspects with atomistic detail like the dynamics of druggable pockets, the interplay of p53 domains in the physiological complex and how they change in p53 cancer mutants compared to the wild-type p53. Our study provides insights into the structure and dynamics of a key tumor suppressor protein at its physiologically relevant state of full-length tetramer bound to DNA.

biophysics↗

AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics

We develop a generalizable AI-driven workflow that leverages heterogeneous HPC resources to explore the time-dependent dynamics of molecular systems. We use this workflow to investigate the mechanisms of infectivity of the SARS-CoV-2 spike protein, the main viral infection machinery. Our workflow enables more efficient investigation of spike dynamics in a variety of complex environments, including within a complete SARS-CoV-2 viral envelope simulation, which contains 305 million atoms and shows strong scaling on ORNL Summit using NAMD. We present several novel scientific discoveries, including the elucidation of the spikes full glycan shield, the role of spike glycans in modulating the infectivity of the virus, and the characterization of the flexible interactions between the spike and the human ACE2 receptor. We also demonstrate how AI can accelerate conformational sampling across different systems and pave the way for the future application of such methods to additional studies in SARS-CoV-2 and other molecular systems. ACM Reference FormatLorenzo Casalino1{dagger}, Abigail Dommer1{dagger}, Zied Gaieb1{dagger}, Emilia P. Barros1, Terra Sztain1, Surl-Hee Ahn1, Anda Trifan2,3, Alexander Brace2, Anthony Bogetti4, Heng Ma2, Hyungro Lee5, Matteo Turilli5, Syma Khalid6, Lillian Chong4, Carlos Simmerling7, David J. Hardy3, Julio D. C. Maia3, James C. Phillips3, Thorsten Kurth8, Abraham Stern8, Lei Huang9, John McCalpin9, Mahidhar Tatineni10, Tom Gibbs8, John E. Stone3, Shantenu Jha5, Arvind Ramanathan2*, Rommie E. Amaro1*. 2020. AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics. In Supercomputing 20: International Conference for High Performance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages. https://doi.org/finalDOI

biophysics↗

Markov State Models and NMR Uncover an Overlooked Allosteric Loop in p53

The tumor suppressor p53 is the most frequently mutated gene in human cancer, and thus reactivation of mutated p53 is a promising avenue for cancer therapy. Analysis of wildtype p53 and the Y220C cancer mutant long-timescale molecular dynamics simulations with Markov state models and validation by NMR relaxation studies has uncovered the involvement of loop L6 in the slowest motions of the protein. Due to its distant location from the DNA-binding surface, the conformational dynamics of this loop has so far remained largely unexplored. We observe mutation-induced stabilization of alternate L6 conformations, distinct from all experimentally-determined structures, in which the loop is both extended and located further away from the DNA-interacting surface. Additionally, the effect of the L6-adjacent Y220C mutation on the conformational landscape of the functionally-important loop L1 suggests an allosteric role to this dynamic loop and the inactivation mechanism of the mutation. Finally, the simulations reveal a novel Y220C cryptic pocket that can be targeted for p53 rescue efforts. Our approach exemplifies the power of the MSM methodology for uncovering intrinsic dynamic and kinetic differences among distinct protein ensembles, such as for the investigation of mutation effects on protein function.

biophysics↗

The flexibility of ACE2 in the context of SARS-CoV-2 infection

The COVID-19 pandemic has swept over the world in the past months, causing significant loss of life and consequences to human health. Although numerous drug and vaccine developments efforts are underway, many questions remain outstanding on the mechanism of SARS-CoV-2 viral association to angiotensin-converting enzyme 2 (ACE2), its main host receptor, and entry in the cell. Structural and biophysical studies indicate some degree of flexibility in the viral extracellular Spike glycoprotein and at the receptor binding domain-receptor interface, suggesting a role in infection. Here, we perform all-atom molecular dynamics simulations of the glycosylated, full-length membrane-bound ACE2 receptor, in both an apo and spike receptor binding domain (RBD) bound state, in order to probe the intrinsic dynamics of the ACE2 receptor in the context of the cell surface. A large degree of fluctuation in the full length structure is observed, indicating hinge bending motions at the linker region connecting the head to the transmembrane helix, while still not disrupting the ACE2 homodimer or ACE2-RBD interfaces. This flexibility translates into an ensemble of ACE2 homodimer conformations that could sterically accommodate binding of the spike trimer to more than one ACE2 homodimer, and suggests a mechanical contribution of the host receptor towards the large spike conformational changes required for cell fusion. This work presents further structural and functional insights into the role of ACE2 in viral infection that can be exploited for the rational design of effective SARS-CoV-2 therapeutics. Statement of SignificanceAs the host receptor of SARS-CoV-2, ACE2 has been the subject of extensive structural and antibody design efforts in aims to curtail COVID-19 spread. Here, we perform molecular dynamics simulations of the homodimer ACE2 full-length structure to study the dynamics of this protein in the context of the cellular membrane. The simulations evidence exceptional plasticity in the protein structure due to flexible hinge motions in the head-transmembrane domain linker region and helix mobility in the membrane, resulting in a varied ensemble of conformations distinct from the experimental structures. Our findings suggest a dynamical contribution of ACE2 to the spike glycoprotein shedding required for infection, and contribute to the question of stoichiometry of the Spike-ACE2 complex.

biophysics↗

Shielding and Beyond: The Roles of Glycans in SARS-CoV-2 Spike Protein

The ongoing COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in more than 15,000,000 infections and 600,000 deaths worldwide to date. Antibody development efforts mainly revolve around the extensively glycosylated SARS-CoV-2 spike (S) protein, which mediates the host cell entry by binding to the angiotensin-converting enzyme 2 (ACE2). Similar to many other viruses, the SARS-CoV-2 spike utilizes a glycan shield to thwart the host immune response. Here, we built a full-length model of glycosylated SARS-CoV-2 S protein, both in the open and closed states, augmenting the available structural and biological data. Multiple microsecond-long, all-atom molecular dynamics simulations were used to provide an atomistic perspective on the roles of glycans, and the protein structure and dynamics. We reveal an essential structural role of N-glycans at sites N165 and N234 in modulating the conformational dynamics of the spikes receptor binding domain (RBD), which is responsible for ACE2 recognition. This finding is corroborated by biolayer interferometry experiments, which show that deletion of these glycans through N165A and N234A mutations significantly reduces binding to ACE2 as a result of the RBD conformational shift towards the "down" state. Additionally, end-to-end accessibility analyses outline a complete overview of the vulnerabilities of the glycan shield of SARS-CoV-2 S protein, which may be exploited by therapeutic efforts targeting this molecular machine. Overall, this work presents hitherto unseen functional and structural insights into the SARS-CoV-2 S protein and its glycan coat, providing a strategy to control the conformational plasticity of the RBD that could be harnessed for vaccine development.

biophysics↗