Mark N. Wass
Molecular Biology · 2010–2021
A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 119 citations into it; #7,164 of 17,773 by trust here, #3,369 by citations
- Computational Biology & Bioinformatics — 34 citations into it
- Materials Chemistry — 26 citations into it
- Genetics — 22 citations into it; #4,821 of 6,854 by trust here, #1,927 by citations
Whom Mark N. Wass trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- The UniProt Consortium
- Lawrence A. Kelley
- Angel R. Ortiz
- Stephen F. Altschul
- John A. Capra
- Michael J.E. Sternberg
- S. Parasuraman
- Charles E.M. Strauss
- Thomas L. Madden
- Johannes Söding
Who trusts Mark N. Wass overall
- Daniel B. Roche
- Lukás Jendele
- Dima Kozakov
- Radoslav Krivák
- Jianyi Yang
- Stuart J. Tetchner
- Yang Zhang
- Liam J. McGuffin
- Tiziano Gallo Cassarino
Papers from Mark N. Wass's perspective
Ordered by how strongly the researchers Mark N. Wass trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation
- Protein homology detection by HMM?CHMM comparison
- Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- Protein data bank
- MaxSub: an automated measure for the assessment of protein structure prediction quality
- MAMMOTH (Matching molecular models obtained from theory): An automated method for model comparison (Protein Science)
- SNAP: predict effect of non-synonymous polymorphisms on function
Their papers
- A large-scale evaluation of computational protein function prediction (2013) — 1,002 citations
- Protein–protein interaction sites are hot spots for disease‐associated nonsynonymous SNPs (2012) — 174 citations
- The Phyre2 web portal for protein modelling, prediction and analysis (2015) — 9,084 citations
- 3DLigandSite: predicting ligand-binding sites using similar structures (2010) — 640 citations
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
- PDBe-KB: collaboratively defining the biological context of structural data (2021) — 68 citations