activity
20182026
most citedJamming by growth

21 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

Fold-CP: A Context Parallelism Framework for Biomolecular Modeling

Dejun Lin, Simon Chu, Vishanth Iyer +35

Understanding cellular machinery requires atomic-scale reconstruction of large biomolecular assemblies. However, predicting the structures of these systems has been constrained by…

q-bio.QM2022★ 8 cited

An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries

Aryan Pedawi, Pawel Gniewek, Chaoyi Chang +2

Virtual, make-on-demand chemical libraries have transformed early-stage drug discovery by unlocking vast, synthetically accessible regions of chemical space. Recent years have witn…

q-bio.QM2021★ 2 cited

Learning physics confers pose-sensitivity in structure-based virtual screening

Pawel Gniewek, Bradley Worley, Kate Stafford +2

In drug discovery, structure-based virtual high-throughput screening (vHTS) campaigns aim to identify bioactive ligands or "hits" for therapeutic protein targets from docked poses…

cond-mat.soft2018★ 21 cited

Jamming by growth

Pawel Gniewek, Carl F Schreck, Oskar Hallatschek

Growth in confined spaces can drive cellular populations through a jamming transition from a fluid-like state to a solid-like state. Experiments have found that jammed budding yeas…

cond-mat.soft2018★ 4 cited

Fluid flow through packings of elastic shells

Pawel Gniewek, Oskar Hallatschek

Fluid transport in porous materials is commonly studied in geological samples (soil, sediments etc.) or idealized systems, but the fluid flow through compacted granular materials,…