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20242026
most citedDeep Learning of Proteins with Local and Global Regions of Disorder

3 citations · 7 across the 14 of their papers we have counts for

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5 papers · 1 filter

physics.bio-ph2024

Biological Insights from Integrative Modeling of Intrinsically Disordered Protein Systems

Zi Hao Liu, Maria Tsanai, Oufan Zhang +2

Intrinsically disordered proteins and regions are increasingly appreciated for their abundance in the proteome and the many functional roles they play in the cell. In this short re…

physics.bio-ph2024

Determining the Role of Electrostatics in the Making and Breaking of the Caprin1-ATP Nanocondensate

Maria Tsanai, Teresa Head-Gordon

We employ a multiscale computational approach to investigate the condensation process of the C-terminal low-complexity region of the Caprin1 protein as a function of increasing ATP…

physics.bio-ph2024

A Workflow to Create a High-Quality Protein-Ligand Binding Dataset for Training, Validation, and Prediction Tasks

Yingze Wang, Kunyang Sun, Jie Li +4

Development of scoring functions (SFs) used to predict protein-ligand binding energies requires high-quality 3D structures and binding assay data for training and testing their par…

physics.bio-ph2024★ 1 cited

Computational Methods to Investigate Intrinsically Disordered Proteins and their Complexes

Zi Hao Liu, Maria Tsanai, Oufan Zhang +2

In 1999 Wright and Dyson highlighted the fact that large sections of the proteome of all organisms are comprised of protein sequences that lack globular folded structures under phy…

physics.bio-ph2024

A Curated Rotamer Library for Common Post-Translational Modifications of Proteins

Oufan Zhang, Shubhankar A. Naik, Zi Hao Liu +2

Sidechain rotamer libraries of the common amino acids of a protein are useful for folded protein structure determination and for generating ensembles of intrinsically disordered pr…