Tatyana Goldberg

PredictProtein provides protein sequence analysis tools, offering structure and function predictions with updates including deep learning and DNA/RNA/protein binding predictions.

The paper reports results from the CAFA3 challenge, showing improved computational protein function prediction and new annotations for over 1000 genes through experimental screens in C. albicans, P. aureginosa, and Drosophila.

The paper compares predicted protein localization spectra across ten eukaryotic species to infer evolutionary relationships.

The paper introduces a computational method to identify type III effectors in bacteria, finding that recognition signals span the entire protein sequence and identifying new effectors across prokaryotic genomes.

The paper demonstrates that linked annotations from text corpora can complement database annotations by showing novel subcellular localization findings in a curated corpus.