Alexandre V. Morozov
Molecular Biology · 2003–2006
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 28 citations into it; #2,401 of 17,773 by trust here, #6,095 by citations
- Materials Chemistry — 16 citations into it; #2,069 of 11,513 by trust here, #6,024 by citations
Whom Alexandre V. Morozov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tanja Kortemme
- David Baker
- Attila Szabó
- Martin Karplus
- W. L. Jorgensen
- J. Perdew
- Corey Hardin
- Carol A. Rohl
- Brian Kuhlman
- X. S. Liu
Who trusts Alexandre V. Morozov overall
- F. Boas
- Tanja Kortemme
- Pehr Harbury
- Chen Yanover
- Andrew Leaver-Fay
- Arlo Z. Randall
- G. Dantas
- Barrett C. Foat
- Richard Lavery
- Shuangye Yin
Papers from Alexandre V. Morozov's perspective
Ordered by how strongly the researchers Alexandre V. Morozov trusts endorse each paper. Same corpus, a different order for every researcher.
- Rosetta in CASP4: Progress in ab initio protein structure prediction (Proteins: Structure, Function, and Bioinformatics)
- Native protein sequences are close to optimal for their structures.
- De novo protein design: fully automated sequence selection.
- A simple physical model for binding energy hot spots in protein–protein complexes
- Prediction of protein-protein interactions by docking methods. (Current Opinion in Structural Biology)
- Exploring protein native states and large‐scale conformational changes with a modified generalized born model (Proteins: Structure, Function, and Bioinformatics)
- Principles that govern the folding of protein chains.
- Principles of docking: An overview of search algorithms and a guide to scoring functions
- Effective energy functions for protein structure prediction. (Current Opinion in Structural Biology)
- Electrostatic aspects of protein-protein interactions. (Current Opinion in Structural Biology)
Their papers
- An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes. (2003) — 510 citations
- Potential functions for hydrogen bonds in protein structure prediction and design. (2005) — 65 citations
- Statistical mechanical modeling of genome-wide transcription factor occupancy data by MatrixREDUCE (2006) — 308 citations