DEEPHVI

About DeepHVI

DeepHVI is a framework for predicting human-virus protein interactions from protein language model representations and physicochemical features.

The DeepHVI paper is authored by Wang X, Luo J, Cai X, Liu R, Li Y, and Hon C. This website provides access to pairwise interaction prediction and interaction partner sequence prediction through the DeepHVI core project. The core repository documents the model implementation and resource provenance. Website, model, and reference-library versions are recorded separately.

Version

Website version
0.1.0
Model version
classifier_9273eb3fbc14391b6d309ff964c8afd18f5219c3327a200765bf2f308aa1cc97
Encoding fingerprint
b2d93009a863c6d9eab9d2312d31bb909f4521d5afb3753338e562d8e9130a31

Core source · Read the paper

Frontend dependency notices