Biology subjects

Hemmat, M.

Publications and source records attributed to Hemmat, M..

4 recordsLinked to original sources

bioRxiv2020

Biophysical modeling of the SARS-CoV-2 viral cycle reveals ideal antiviral targets

Effective therapies for COVID-19 are urgently needed. Presently there are more than 800 COVID-19 clinical trials globally, many with drug combinations, resulting in an empirical process with an enormous number of possible combinations. To identify the most promising potential therapies, we developed a biophysical model for the SARS-CoV-2 viral cycle and performed a sensitivity analysis for individual model parameters and all possible pairwise parameter changes (162 = 256 possibilities). We found that model-predicted virion production is fairly insensitive to changes in most viral entry, assembly, and release parameters, but highly sensitive to some viral transcription and translation parameters. Furthermore, we found a cooperative benefit to pairwise targeting of transcription and translation, predicting that combined targeting of these processes will be especially effective in inhibiting viral production.Competing Interest StatementThe authors have declared no competing interest.View Full Text

systems biology↗

bioRxiv2020

Poisson poisoning as the mechanism of action of the microtubule-targeting agent colchicine

Microtubule-directed anti-cancer drugs, such as paclitaxel, vinblastine, and colchicine, disrupt cell mitosis through suppression of microtubule dynamics ("kinetic stabilization"). However, while the molecular mechanisms of paclitaxel and vinblastine act as pseudo- and true-kinetic stabilizers, respectively, the molecular mechanism of colchicine has remained enigmatic since it requires explanation of both the slow kinetics of the drug and suppression of microtubule dynamics. In this work, we applied an integrated multi-scale modeling-experimental approach to systematically characterize the microtubule targeting agent (MTA) colchicine. We found that colchicine stabilizes microtubule dynamics significantly both in vivo and in vitro in a time and concentration-dependent manner. Molecular modeling results suggest that tubulins binding pocket is accessible to the drug for only 15% of the simulation trajectory time in straight and 82% in curved conformation on average, confirming that colchicine mainly binds to free tubulin. Molecular dynamics simulations show that there are conformational changes at longitudinal and lateral residues of GTP-tubulin-colchicine compared to a lattice tubulin structure, explaining why further incorporation of tubulin dimers to a tubulin-colchicine complex at a protofilament tip is unfavorable. Thermokinetic modeling of microtubule assembly shows that colchicine bound at fractions as low as [~]0.008 to free tubulin can poison the ends of protofilaments with a Poisson distribution and thus, reduce the microtubule growth rate, while stabilizing the tubulin lateral bond and reducing the microtubule shortening rate, i.e. true kinetic stabilization. This study suggests new strategies for colchicine administration to improve the therapeutic window in the treatment of cancer and inflammatory diseases. Significance StatementColchicine is an ancient microtubule targeting agent (MTA) known to attenuate microtubule (MT) dynamics but its cancer treatment efficacy is often limited by lack of a detailed understanding of the drugs mechanism of action. The primary goal of this study was to perform a multi-scale systematic analysis of molecular mechanism of action of colchicine. The analysis indicates that unlike paclitaxel and vinblastine, colchicine poisons the ends of protofilaments of MTs at low fractions bound to tubulin, in a time-dependent manner. Our results suggest new insights into improvement of the clinical administration of colchicine and new colchicine-site inhibitors.

biophysics↗

bioRxiv2020

Atomistic basis of microtubule dynamic instability assessed via multiscale modeling

Microtubule "dynamic instability," the abrupt switching from assembly to disassembly caused by the hydrolysis of GTP to GDP within the {beta} subunit of the {beta}-tubulin heterodimer, is necessary for vital cellular processes such as mitosis and migration. Despite existing high-resolution structural data, the key mechanochemical differences between the GTP and GDP states that mediate dynamic instability behavior remain unclear. Starting with a published atomic-level structure as an input, we used multiscale modeling to find that GTP hydrolysis results in both longitudinal bond weakening (~4 kBT) and an outward bending preference (~1.5 kBT) to both drive dynamic instability and give rise to the microtubule tip structures previously observed by light and electron microscopy. More generally, our study provides an example where atomic level structural information is used as the sole input to predict cellular level dynamics without parameter adjustment.

biophysics↗

bioRxiv2019

Multi-scale Computational Modeling of Tubulin-Tubulin Lateral Interaction

Microtubules are multi-stranded polymers in eukaryotic cells that support key cellular functions such as chromosome segregation, motor-based cargo transport, and maintenance of cell polarity. Microtubules self-assemble via \"dynamic instability,\" where the dynamic plus ends switch stochastically between alternating phases of polymerization and depolymerization. A key question in the field is what are the atomistic origins of this switching, i.e. what is different between the GTP- and GDP-tubulin states that enables microtubule growth and shortening, respectively? More generally, a major challenge in biology is how to connect theoretical frameworks across length-time scales, from atoms to cellular behavior. In this study, we describe a multi-scale model by linking atomistic molecular dynamics (MD), molecular Brownian dynamics (BD), and cellular-level thermo-kinetic (TK) modeling of microtubules. Here we investigated the underlying interaction energy landscape when tubulin dimers associate laterally by performing all-atom molecular dynamics simulations. We found that the lateral free energy is not significantly different among three nucleotide states of tubulin, GTP, GDP, and GMPCPP, and is estimated to be {cong}-11 kBT. Furthermore, using MD potential energy in our BD simulations of tubulin dimers in solution confirms that the lateral bond is weak on its own with a mean lifetime of ~0.1 s, implying that the longitudinal bond is required for microtubule assembly. We conclude that nucleotide-dependent lateral bond strength is not the key mediator microtubule dynamic instability, implying that GTP acts elsewhere to exert its stabilizing influence on microtubule polymer. Furthermore the estimated bond strength is well-aligned with earlier estimates based on thermokinetic (TK) modeling and light microscopy measurements (VanBuren et al., PNAS, 2002). Thus, we have computationally connected atomistic level structural information, obtained by cryo-electron microscopy, to cellular scale microtubule assembly dynamics using a combination of MD, BD, and TK models to bridge from [A]ngstroms to micrometers and from femtoseconds to minutes.

biophysics↗