Chris S. Pettitt
Molecular Biology · 2005
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 12 citations into it
- Materials Chemistry — 6 citations into it
- Computational Biology & Bioinformatics — 5 citations into it
Whom Chris S. Pettitt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adam T. Zemla
- Arne Elofsson
- Yang Zhang
- Björn Wallner
- David C. Jones
- Leszek Rychlewski
- Jesper Lundström
- Jeffrey Skolnick
- Donald Petrey
- William R. Taylor
Who trusts Chris S. Pettitt overall
- Liam J. McGuffin
- Pascal Benkert
- Joe G. Greener
- David Eramian
- Daniel B. Roche
- Shaun M. Kandathil
- Helen M. Berman
- Silvio C. E. Tosatto
- Narayanan Eswar
- Andrej Sali
Papers from Chris S. Pettitt's perspective
Ordered by how strongly the researchers Chris S. Pettitt trusts endorse each paper. Same corpus, a different order for every researcher.
- Hidden Markov models for detecting remote protein homologies
- MaxSub: an automated measure for the assessment of protein structure prediction quality
- Enhanced genome annotation using structural profiles in the program 3D-PSSM. (Journal of Molecular Biology)
- Critical assessment of methods of protein structure prediction (CASP)‐round V
- Can correct protein models be identified?
- LGA: a method for finding 3D similarities in protein structures
- Pcons: A neural‐network–based consensus predictor that improves fold recognition (Protein Science)
- Using multiple structure alignments, fast model building, and energetic analysis in fold recognition and homology modeling (Proteins: Structure, Function, and Bioinformatics)
- Protein structure comparison by alignment of distance matrices.
- A new approach to protein fold recognition
Their papers
- Improving sequence-based fold recognition by using 3D model quality assessment (2005) — 66 citations