Dmitry Rykunov

Molecular Biology · 2008–2019

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 73 citations into it; #8,937 of 17,773 by trust here, #13,284 by citations
• Computational Biology & Bioinformatics — 16 citations into it
• Spectroscopy — 15 citations into it
• Materials Chemistry — 11 citations into it; #5,436 of 11,513 by trust here, #9,927 by citations
• Evaluation & Benchmarks — 7 citations into it

Whom Dmitry Rykunov trusts overall

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

1. Adam T. Zemla
2. John Moult
3. Manfred J. Sippl
4. Min-Yi Shen
5. Ram Samudrala
6. Krzysztof Fidelis
7. S. Miyazawa
8. Steven Henikoff
9. Helen M. Berman
10. Stephen F. Altschul

Who trusts Dmitry Rykunov overall

1. Feng Zhao
2. Jinbo Xu
3. J. Haas
4. Michael Feig
5. Jeffrey R. Brender
6. Ivan V. Anishchenko
7. Chunxiang Peng
8. Pascal Benkert

Papers from Dmitry Rykunov's perspective

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

1. The Protein Data Bank.
2. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
3. Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
4. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
5. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
6. QMEAN: A comprehensive scoring function for model quality assessment
7. Statistical potential for assessment and prediction of protein structures
8. LGA: a method for finding 3D similarities in protein structures
9. Amino acid substitution matrices from protein blocks.
10. Critical assessment of methods of protein structure prediction (CASP)—Round 6

Their papers

• New statistical potential for quality assessment of protein models and a survey of energy functions (2010) — 81 citations
• Improved scoring function for comparative modeling using the M4T method (2008) — 41 citations
• Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma (2019) — 634 citations