Subhadip Basu

SIP-BERT predicts self-interacting proteins using organism-specific datasets, outperforming existing methods and generalizing to under-annotated species.

The paper introduces a fuzzy semantic scoring function to assess protein binding affinity using Gene Ontology graphs and applies it to a human PPI network of 180 million potential interactions.

3dSpAn is a software tool for 3D segmentation and morphological analysis of dendritic spines, addressing segmentation and quantification challenges using multiscale algorithms and feature extraction.

The paper identifies spreader nodes and ranks interacting edges in the SARS-CoV-human protein interaction network using a new spreadability index and validates it with the SIS model.

PartSeg is a tool for automated segmentation and reconstruction of 3D microscopy images, designed for cell nucleus analysis with a user-friendly interface and bulk processing capabilities.

The paper summarizes results from a competition to develop PPI predictive models using sequence data with high-quality datasets.