Lisa N. Kinch

Molecular Biology · 2004–2021

A researcher in the Science corpus: 17 papers; trusts 50 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 283 citations into it; #1,819 of 17,773 by trust here, #1,728 by citations
• Computational Biology & Bioinformatics — 125 citations into it; #631 of 660 by trust here, #362 by citations
• Materials Chemistry — 113 citations into it; #1,644 of 11,513 by trust here, #2,707 by citations
• Genetics — 58 citations into it
• Spectroscopy — 30 citations into it
• Evaluation & Benchmarks — 16 citations into it
• 3D Vision & Pose — 9 citations into it
• Biomedical Engineering — 5 citations into it

Whom Lisa N. Kinch trusts overall

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

1. Andriy Kryshtafovych
2. John Moult
3. Adam T. Zemla
4. Yang Zhang
5. Krzysztof Fidelis
6. Tauno Metsalu
7. Bohdan Monastyrskyy
8. Jimin Pei
9. Luciano A. Abriata
10. Hua Cheng

Who trusts Lisa N. Kinch overall

1. Andriy Kryshtafovych
2. Luciano A. Abriata
3. Bohdan Monastyrskyy
4. John Moult
5. Krzysztof Fidelis
6. Valerio Mariani
7. Jonghun Won
8. Giorgio Tamò
9. Torsten Schwede
10. J. Haas

Papers from Lisa N. Kinch's perspective

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

1. Basic local alignment search tool.
2. Protein structure comparison by alignment of distance matrices.
3. TM-align: a protein structure alignment algorithm based on the TM-score
4. Protein data bank
5. Amino acid substitution matrices from protein blocks.
6. Direct-coupling analysis of residue coevolution captures native contacts across many protein families
7. The Protein Data Bank.
8. Scoring function for automated assessment of protein structure template quality
9. Data growth and its impact on the SCOP database: new developments
10. ECOD: An Evolutionary Classification of Protein Domains

Their papers

• Structure prediction for CASP8 with all-atom refinement using Rosetta (2009) — 496 citations
• ECOD: An Evolutionary Classification of Protein Domains (2014) — 391 citations
• CASP9 Target Classification (2011) — 66 citations
• Evaluation of free modeling targets in CASP11 and ROLL (2016) — 73 citations
• Large-scale determination of previously unsolved protein structures using evolutionary information (2015) — 129 citations
• CASP9 Assessment of Free Modeling Target Predictions (2011) — 101 citations
• Definition and classification of evaluation units for tertiary structure prediction in CASP12 facilitated through semi‐automated metrics (2018) — 14 citations
• Analysis of CASP8 targets, predictions and assessment methods (2009) — 36 citations
• CASP 11 Target Classification (2016) — 35 citations
• Target Classification in the 14th Round of the Critical Assessment of Protein Structure Prediction (CASP14). (2021) — 37 citations
• CASP13 Target Classification into Tertiary Structure Prediction Categories (2019) — 33 citations
• SCOPmap: Automated assignment of protein structures to evolutionary superfamilies (2004) — 53 citations
• A Sequence Variation (I148M) in PNPLA3 Associated with Nonalcoholic Fatty Liver Disease Disrupts Triglyceride Hydrolysis (2009) — 620 citations
• Molecular characterization of loss-of-function mutations in PCSK9 and identification of a compound heterozygote. (2006) — 659 citations
• BAP1 loss defines a new class of renal cell carcinoma (2012) — 912 citations
• Topology Evaluation of Models for Difficult Targets in the 14th Round of the Critical Assessment of Protein Structure Prediction (CASP14) (2021) — 43 citations
• Mutation severity spectrum of rare alleles in the human genome is predictive of disease type (2019) — 16 citations