Search Results for author: Ada Sedova

Found 3 papers, 1 papers with code

Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer

no code implementations25 Jan 2022 Mu Gao, Mark Coletti, Russell B. Davidson, Ryan Prout, Subil Abraham, Benjamin Hernandez, Ada Sedova

Deep learning has contributed to major advances in the prediction of protein structure from sequence, a fundamental problem in structural bioinformatics.

Protein Structure Prediction

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction

1 code implementation6 Jun 2021 Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng

In this work, we expand on a dataset recently introduced for this task, the Database of Interacting Protein Structures (DIPS), to present DIPS-Plus, an enhanced, feature-rich dataset of 42, 112 complexes for geometric deep learning of protein interfaces.

Drug Discovery Protein Interface Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.