J. Haas
Molecular Biology · with Schwede · 2011–2021
A researcher in the Science corpus: 9 papers; trusts 27 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 249 citations into it; #1,117 of 17,773 by trust here, #3,019 by citations
- Materials Chemistry — 130 citations into it; #1,822 of 11,513 by trust here, #4,508 by citations
- Computational Biology & Bioinformatics — 99 citations into it; #194 of 660 by trust here, #253 by citations
- Computational Theory and Mathematics — 38 citations into it; #5,326 of 12,182 by trust here, #1,633 by citations
- Evaluation & Benchmarks — 18 citations into it; #1,154 of 3,147 by trust here, #1,103 by citations
- 3D Vision & Pose — 6 citations into it
Whom J. Haas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adam T. Zemla
- Torsten Schwede
- Marco Biasini
- Valerio Mariani
- Johannes Söding
- Kliment Olechnovic
- Andrej Sali
- Liam J. McGuffin
- Yang Zhang
- Manfred J. Sippl
Who trusts J. Haas overall
- Sheng Wang
- Liam J. McGuffin
- Hahnbeom Park
- Jianyi Yang
- Ben M. Webb
- Ali Hassan Ahmed Maghrabi
- Mohammed Alquraishi
- Jinbo Xu
- Gabriel Studer
- Andrew M. Waterhouse
Papers from J. Haas's perspective
Ordered by how strongly the researchers J. Haas trusts endorse each paper. Same corpus, a different order for every researcher.
- Basic local alignment search tool.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The Protein Data Bank.
- MODBASE: a database of annotated comparative protein structure models and associated resources
- Comparative protein modelling by satisfaction of spatial restraints.
- TM-align: a protein structure alignment algorithm based on the TM-score
- Announcing the worldwide Protein Data Bank
- CAD‐score: A new contact area difference‐based function for evaluation of protein structural models
- Identification of common molecular subsequences.
- The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
Their papers
- Assessment of template based protein structure predictions in CASP9 (2011) — 183 citations
- The Protein Model Portal—a comprehensive resource for protein structure and model information (2013) — 286 citations
- Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12 (2018) — 152 citations
- Assessment of ligand binding residue predictions in CASP9 (2011) — 83 citations
- OpenStructure: an integrated software framework for computational structural biology (2013) — 166 citations
- Introducing “best single template” models as reference baseline for the Continuous Automated Model Evaluation (CAMEO) (2019) — 34 citations
- QMEANDisCo—distance constraints applied on model quality estimation (2019) — 820 citations
- CAMEO - Perspectives on the future of fully automated evaluation of structure prediction methods (2021) — 68 citations
- The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases (2015) — 60 citations