Milo M. Lin

This study uses hidden Markov modeling to analyze dynamic functional connectivity in MS patients, finding altered state occupancy and transitions associated with disability and cognition.

This study uses molecular dynamics simulations to show that double phosphorylation of MEK1 unwinds its helix, increases solvent exposure of catalytic residues, and induces correlated motion at the active site, enhancing enzymatic activity.

This study maps how β-lactamase mutations confer resistance to different antibiotics, identifying generalist and specialist mutations with distinct mechanisms and positions.

The paper introduces a model to study how proteins transmit information over long distances without structural changes, finding that discrete motion enables this despite thermal noise.

This study constructs a comprehensive mutant library of TEM-1 beta-lactamase and shows that higher-order epistasis drives unpredictable evolution of antibiotic resistance to novel substrates.

This study investigates drug-drug interactions in AML cell lines, finding widespread but non-conserved synergistic and antagonistic effects across different cell lines.

This paper shows that residue-level fluctuations in proteins encode geometric bits communicated through sparse 3D networks of shared entropy, validated across multiple experimental data modalities.

This paper shows that hierarchical learning in neural networks produces an invariant schema for visual boundary detection, matching human neural activity patterns.

This paper proposes a lever hypothesis for Synaptotagmin-1 action in neurotransmitter release, suggesting it pulls SNARE complexes to facilitate membrane fusion.

The paper investigates how local structure in tau protein modulates aggregation propensity and how mutations disrupt this structure to trigger amyloid formation.