Jose M. Duarte

Molecular Biology · 2009–2022

A researcher in the Science corpus: 12 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 205 citations into it; #11,293 of 17,773 by trust here, #3,835 by citations
• Computational Biology & Bioinformatics — 79 citations into it
• Physical and Theoretical Chemistry — 8 citations into it

Whom Jose M. Duarte trusts overall

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

1. Andrej Sali
2. Alexey G. Murzin
3. Liisa Holm
4. Gianluca Pollastri
5. Michele Vendruscolo
6. Pascal Benkert
7. Adam T. Zemla
8. Michael Romano
9. Christopher Sander
10. Steven E. Brenner

Who trusts Jose M. Duarte overall

1. Badri Adhikari
2. Debswapna Bhattacharya
3. Debora Marks
4. Carlos H. M. Rodrigues

Papers from Jose M. Duarte's perspective

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

1. The Protein Data Bank.
2. Protein structure comparison by alignment of distance matrices.
3. Basic local alignment search tool.
4. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
5. Protein Structure Prediction and Structural Genomics
6. The Pfam protein families database: towards a more sustainable future
7. QMEAN: A comprehensive scoring function for model quality assessment
8. Highly accurate protein structure prediction with AlphaFold
9. MODBASE: a database of annotated comparative protein structure models and associated resources
10. Statistical potentials for fold assessment (Protein Science)

Their papers

• NGL viewer: web‐based molecular graphics for large complexes (2018) — 446 citations
• RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences (2020) — 1,313 citations
• Assessment of protein assembly prediction in CASP12 (2018) — 71 citations
• The RCSB protein data bank: integrative view of protein, gene and 3D structural information (2016) — 1,037 citations
• Optimal contact definition for reconstruction of Contact Maps (2010) — 75 citations
• Assessment of protein assembly prediction in CASP13 (2019) — 39 citations
• Defining an Essence of Structure Determining Residue Contacts in Proteins (2009) — 49 citations
• RCSB Protein Data Bank: Enabling biomedical research and drug discovery (2019) — 303 citations
• RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy (2018) — 1,101 citations
• MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures (2017) — 48 citations
• RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning (2022) — 715 citations
• Simplified quality assessment for small-molecule ligands in the Protein Data Bank. (2022) — 20 citations