Work

Graph Attention With Structural Features Improves the Generalizability of Identifying Functional Sequences at a Protein Interface

Year: 2025

Type: preprint

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.1101/2025.11.04.686550

Authors: J. Ash, I. M. Francino-Urdaniz, S. P. Kells, C. N. Davis, T. A. Whitehead, S. D. Khare

Institutions: Rutgers, The State University of New Jersey, University of Colorado Boulder

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: The influence of evolutionary landscapes on protective antibody development, Seeing the Unseen: High-Throughput Prospective Profiling and inhibition of SARS-CoV-2 receptor-binding domain variants, Interdisciplinary Predoctoral Training in Molecular Biophysics

OpenAlex ID: W4416137823

Cites: 58

Cited by:

Related to: 10