Č. Venclovas

Molecular Biology · 1997–2021

A researcher in the Science corpus: 16 papers; trusts 30 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 173 citations into it; #563 of 17,773 by trust here, #3,027 by citations
• Materials Chemistry — 100 citations into it; #770 of 11,513 by trust here, #4,806 by citations
• Computational Biology & Bioinformatics — 82 citations into it; #135 of 660 by trust here, #347 by citations
• Computational Theory and Mathematics — 34 citations into it; #3,522 of 12,182 by trust here, #3,681 by citations
• Evaluation & Benchmarks — 14 citations into it; #1,149 of 3,147 by trust here, #1,764 by citations
• Spectroscopy — 13 citations into it; #260 of 1,674 by trust here, #644 by citations

Whom Č. Venclovas trusts overall

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

1. Adam T. Zemla
2. Liisa Holm
3. John Moult
4. Krzysztof Fidelis
5. Steven Henikoff
6. Andriy Kryshtafovych
7. Manfred J. Sippl
8. Yang Zhang
9. Christopher Sander
10. Johannes Söding

Who trusts Č. Venclovas overall

1. Andriy Kryshtafovych
2. John Moult
3. Liam J. McGuffin
4. Krzysztof Fidelis
5. Kliment Olechnovic
6. Tim J. P. Hubbard
7. Adam T. Zemla
8. Feng Zhao
9. Arne Elofsson
10. Mindaugas Margelevičius

Papers from Č. Venclovas's perspective

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

1. Protein structure comparison by alignment of distance matrices.
2. Amino acid substitution matrices from protein blocks.
3. Processing and analysis of CASP3 protein structure predictions
4. Can correct protein models be identified?
5. Identification of common molecular subsequences.
6. TM-align: a protein structure alignment algorithm based on the TM-score
7. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
8. Dali: a network tool for protein structure comparison.
9. CAD‐score: A new contact area difference‐based function for evaluation of protein structural models
10. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features

Their papers

• CAD‐score: A new contact area difference‐based function for evaluation of protein structural models (2013) — 147 citations
• Processing and evaluation of predictions in CASP4 (2001) — 161 citations
• VoroMQA: Assessment of protein structure quality using interatomic contact areas (2017) — 178 citations
• Comparison of performance in successive CASP experiments (2001) — 87 citations
• Estimation of model accuracy in CASP13 (2019) — 75 citations
• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• Detection of distant evolutionary relationships between protein families using theory of sequence profile-profile comparison (2010) — 54 citations
• Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
• Structure-based predictions of Rad1, Rad9, Hus1 and Rad17 participation in sliding clamp and clamp-loading complexes (2000) — 300 citations
• Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants (2019) — 1,975 citations
• The PPI3D web server for searching, analyzing and modeling protein‐protein interactions in the context of 3D structures (2016) — 45 citations
• The CAD-score web server: contact area-based comparison of structures and interfaces of proteins, nucleic acids and their complexes (2014) — 17 citations
• Progress over the first decade of CASP experiments (2005)
• A modified definition of Sov, a segment‐based measure for protein secondary structure prediction assessment (1999)
• Processing and analysis of CASP3 protein structure predictions (1999)
• Criteria for evaluating protein structures derived from comparative modeling (1997)