Author
Ken A. Dill
Stony Brook UniversityORCID 0000-0002-2390-2002Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2021-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 14 mutual co-author linksMutual co-authors in cluster
6 papers
Recent·Most cited
Generation of Pathway Signatures by Combining Normal Modes with Weighted Ensemble Simulations
Anthony T. Bogetti, Anupam Banerjee, Ken A. Dill, İvet Bahar
This study combines normal modes with weighted ensemble simulations to generate unbiased protein pathways efficiently.
bioRxiv · Apr 23, 2026 · PreprintBiophysics
Brain signaling becomes less integrated and more segregated with age
Rostam M. Razban, Botond B. Antal, Ken A. Dill, Lilianne Rivka Mujica-Parodi
The paper defines brain integration and segregation using the Ising model to analyze functional MRI data, finding that these states become less balanced with age.
Network Neuroscience · May 28, 2024Peer-reviewedNeuroscience
MHC-Fine: Fine-tuned AlphaFold for Precise MHC-Peptide Complex Prediction
Ernest Glukhov, Dmytro Kalitin, Darya Stepanenko, Y. Zhu, Thu Nguyen, George S. Jones, T. Patsahan, Carlos L. Simmerling, Julie C. Mitchell, Sándor Vajda, Ken A. Dill, Dzmitry Padhorny, Dima Kozakov
The paper fine-tunes AlphaFold using high-resolution MHC-peptide crystal structures to improve prediction accuracy for MHC-peptide complex structures, outperforming existing methods in RMSD and lDDT scores.
Biophysical Journal · May 15, 2024Peer-reviewedBioinformatics
Early Path Dominance as a Principle for Neurodevelopment
Rostam M. Razban, Jonathan Asher Pachter, Ken A. Dill, Lilianne Rivka Mujica-Parodi
The paper uses percolation theory to analyze brain development, finding that early white matter tracts become longest and densest, maintaining a giant cluster across aging and disease.
Proceedings of the National Academy of Sciences · Apr 13, 2023Peer-reviewedNeuroscience
Metabolism modulates network synchrony in the aging brain
Corey Weistuch, Lilianne Rivka Mujica-Parodi, Rostam M. Razban, Botond B. Antal, Helena van Nieuwenhuizen, Anar Amgalan, Ken A. Dill
This study shows that aging reduces brain network synchrony, modeled as a critical point in communication strength, and demonstrates that metabolic changes can drive these global shifts.
Proceedings of the National Academy of Sciences · Sep 29, 2021Peer-reviewedNeuroscience