Memory unlocks the future of biomolecular dynamics: Transformative tools to uncover physical insights accurately and efficiently

AJ Dominic III, S Cao, A Montoya-Castillo… - Journal of the …, 2023 - ACS Publications
Conformational changes underpin function and encode complex biomolecular mechanisms.
Gaining atomic-level detail of how such changes occur has the potential to reveal these …

Collective Variable-Based Enhanced Sampling: From Human Learning to Machine Learning

H Fu, H Bian, X Shao, W Cai - The Journal of Physical Chemistry …, 2024 - ACS Publications
Enhanced-sampling algorithms relying on collective variables (CVs) are extensively
employed to study complex (bio) chemical processes that are not amenable to brute-force …

[HTML][HTML] Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI)

T Kikutsuji, Y Mori, K Okazaki, T Mori, K Kim… - The journal of …, 2022 - pubs.aip.org
A method for obtaining appropriate reaction coordinates is required to identify transition
states distinguishing the product and reactant in complex molecular systems. Recently …

Multiscale topological indices for the quantitative prediction of SARS CoV-2 binding affinity change upon mutations

J Bi, JJ Wee, X Liu, C Qu, G Wang… - Journal of Chemical …, 2023 - ACS Publications
The Coronavirus disease 2019 (COVID-19) has affected people's lives and the development
of the global economy. Biologically, protein–protein interactions between SARS-CoV-2 …

Exact reaction coordinates for flap opening in HIV-1 protease

S Wu, H Li, A Ma - Proceedings of the National Academy of …, 2022 - National Acad Sciences
The primary goal of protein science is to understand how proteins function, which requires
understanding the functional dynamics responsible for transitions between different …

[HTML][HTML] Exact probability landscapes of stochastic phenotype switching in feed-forward loops: phase diagrams of multimodality

A Terebus, F Manuchehrfar, Y Cao, J Liang - Frontiers in Genetics, 2021 - frontiersin.org
Feed-forward loops (FFLs) are among the most ubiquitously found motifs of reaction
networks in nature. However, little is known about their stochastic behavior and the variety of …

Reactive Vortexes in a Naturally Activated Process: Non-Diffusive Rotational Fluxes at Transition State Uncovered by Persistent Homology

F Manuchehrfar, H Li, A Ma, J Liang - The Journal of Physical …, 2022 - ACS Publications
The dynamics of reaction coordinates during barrier-crossing are key to understanding
activated processes in complex systems such as proteins. The default assumption from …

Unveiling interatomic distances influencing the reaction coordinates in alanine dipeptide isomerization: An explainable deep learning approach

K Okada, T Kikutsuji, K Okazaki, T Mori, K Kim… - The Journal of …, 2024 - pubs.aip.org
The present work shows that the free energy landscape associated with alanine dipeptide
isomerization can be effectively represented by specific interatomic distances without explicit …

Interpretation of autoencoder-learned collective variables using Morse–Smale complex and sublevelset persistent homology: An application on molecular trajectories

SC Lee - The Journal of Chemical Physics, 2024 - pubs.aip.org
Dimensionality reduction often serves as the first step toward a minimalist understanding of
physical systems as well as the accelerated simulations of them. In particular, neural …

Identifying Transient Cells During Reprogramming via Persistent Homology

A Petenkaya, F Manuchehrfar… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Single-cell RNA sequencing is a powerful method that helps delineate the regulatory
mechanisms shaping the diverse cellular populations. Heterogeneous cell populations …