Shobhit Jain

TL;DR: A draft map of the human proteome is presented using high-resolution Fourier-transform mass spectrometry to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-c coding RNAs and upstream open reading frames.

TL;DR: An improved algorithm to compute semantic similarity between GO terms annotated to proteins in interaction datasets, which performs better than other semantic similarity measurement techniques that were evaluated in terms of their performance on distinguishing true from false protein interactions, and correlation with gene expression and protein families.

TL;DR: This work comprehensively surveyed the specificity landscape of human SH3 domains in an unbiased manner using peptide-phage display and deep sequencing to reveal that roughly half of the Sh3 domains exhibit non-canonical specificities and collectively recognize a wide variety of peptide motifs, most of which were previously unknown.

TL;DR: This review focuses on computational prediction and analysis of PRM‐mediated networks and discusses sequence‐ and structure‐based interaction predictors, techniques and datasets for identifying physiologically relevant PPIs, and interpreting high‐resolution interaction networks in the context of evolution and human disease.

TL;DR: Analysis showed that optimal peptide ligands resembled peptides observed in existing structures of PRM‐ligand complexes, indicating that a large majority of the phage‐derived peptides are likely to target natural peptide‐binding sites and could thus act as inhibitors of natural protein–protein interactions.