Vasilis Ntranos

Molecular Biology · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 40 citations into it
• Computational Biology & Bioinformatics — 22 citations into it

Whom Vasilis Ntranos trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Steven Henikoff (in Computational Biology & Bioinformatics)
2. Michal Linial (in Molecular Biology)
3. Dan Ofer (in Molecular Biology)
4. Nadav Brandes (in Molecular Biology)
5. Pauline Crystal Ng (in Computational Biology & Bioinformatics)

Papers from Vasilis Ntranos's perspective

Ordered by how strongly the researchers Vasilis Ntranos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
2. The language of proteins: NLP, machine learning & protein sequences (Computational and Structural Biotechnology Journal)
3. Language models enable zero-shot prediction of the effects of mutations on protein function
4. Highly accurate protein structure prediction with AlphaFold
5. Human Gene Mutation Database (HGMD®): 2003 update
6. SIFT: predicting amino acid changes that affect protein function
7. Quantifying and understanding the fitness effects of protein mutations: Laboratory versus nature
8. ProteinBERT: a universal deep-learning model of protein sequence and function (bioRxiv)
9. A method and server for predicting damaging missense mutations
10. UniRef: comprehensive and non-redundant UniProt reference clusters

Their papers

• Genome-wide prediction of disease variant effects with a deep protein language model (2023) — 348 citations
• Genome-wide prediction of disease variants with a deep protein language model (2022) — 19 citations