AIMC Topic: Molecular Dynamics Simulation

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Structural Heterogeneity of the Membrane-Interacting Region of the HIV-1 Envelope Glycoprotein.

Journal of the American Chemical Society
The HIV-1 envelope glycoprotein (Env) trimer (gp120/gp41) forms the key functional envelope spike and is the target of neutralizing antibodies. The glycoprotein gp41 component mediates the fusion of viral and host cell membranes. The membrane-interac...

eRMSF: A Python Package for Ensemble-Based RMSF Analysis of Biomolecular Systems.

Journal of chemical information and modeling
Understanding molecular flexibility and dynamics across different structural ensembles is essential for interpreting the behavior of complex biological systems. Here, we introduce eRMSF, a fast and user-friendly Python package built with MDAKit from ...

A Practical Guide to Transition State Analysis in Biomolecular Simulations with TS-DAR.

The journal of physical chemistry. B
Conformational changes essential for protein function involve transitions through multiple short-lived, high-energy states within the complex free energy landscape. While existing methods, such as Markov State Models and non-Markovian approaches buil...

FormulationLAI: A physiology-based machine learning framework for accelerated development of long-acting injectable formulations.

Journal of controlled release : official journal of the Controlled Release Society
Long-acting injectables (LAIs) represent promising drug delivery platforms for chronic diseases management, but their clinical translation remains constrained by extremely long trial-and-error experiments (8-10 years), limited mechanism insights, and...

Integrating machine learning and molecular dynamics simulation to decipher the molecular network of dioxin-associated liposarcoma.

Scientific reports
Dioxin-like pollutants, especially 2,3,7,8-Tetrachlorodibenzo-p-dioxin, are recognized human carcinogens. Retrospective studies suggest a link between dioxins and soft tissue sarcomas, including liposarcoma, but mechanisms remain unclear. This study ...

Enhancing Permeability Prediction of Heterobifunctional Degraders Using Machine Learning and Metadynamics-Informed 3D Molecular Descriptors.

Journal of chemical information and modeling
Heterobifunctional degraders, a class of targeted protein degraders (TPDs), often occupy beyond-rule-of-five (bRo5) chemical space, where traditional passive permeability models─calibrated on drug-like molecules or peptides and based on topological d...

Accurate Simulations of Water and Aqueous Solutions through Fine-Tuned Dispersion-Corrected Density Functional Theory and Machine-Learning Interatomic Potentials.

Journal of chemical information and modeling
Dispersion-corrected density functional theory (DFT-D) is widely employed to model large molecular systems at an affordable computational cost and to develop machine-learning interatomic potentials (MLIPs), enabling reliable molecular dynamics (MD) s...

Selective cytotoxicity of anhydroicaritin in ER-positive breast cancer via ESR1-mediated MAPK and apoptotic signaling.

Chemico-biological interactions
Anhydroicaritin (AHI), a chemically characterized prenylated flavonoid, exhibits strong and selective cytotoxicity against estrogen receptor-positive (ER+) breast cancer cells. In this study, we aimed to elucidate its molecular and cellular toxicolog...

Predicting PFAS Diffusion Coefficients with Active Learning and Molecular Dynamics.

Environmental science & technology
Per- and polyfluoroalkyl substances (PFAS) are over 14 000 synthetic compounds with exceptional environmental persistence. Used extensively in industrial and consumer applications, PFAS resist degradation and accumulate in environmental media and liv...

HlightReaxMD: A Machine Learning-Augmented Multiscale Analysis Framework for Radiation Chemistry Dynamics and Damage Prediction.

Journal of chemical information and modeling
Molecular dynamics (MD) simulations are currently widely used to study large-scale displacement cascades based on massive simulation trajectories. However, when the irradiation process involves the complex chemical reactions, effectively analyzing an...