C. Bystroff
Molecular Biology · 1999–2020
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 299 citations into it; #4,224 of 17,773 by trust here, #9,030 by citations
- Materials Chemistry — 144 citations into it
Whom C. Bystroff trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Burkhard Rost
- Sean R. Eddy
- Stephen F. Altschul
- Christopher Sander
- Anders Krogh
- Erik L. L. Sonnhammer
- Andrew Leaver-Fay
- W. Kabsch
- K. Simons
- Sarel Jacob Fleishman
Who trusts C. Bystroff overall
- Mohammed J. Zaki
- Z. Aydın
- Corey Hardin
- Mirko Torrisi
- Bernard O. Offmann
- Lukas Käll
- Yan Liu
- Limsoon Wong
- Taras V. Pogorelov
- Burkhard Rost
Papers from C. Bystroff's perspective
Ordered by how strongly the researchers C. Bystroff trusts endorse each paper. Same corpus, a different order for every researcher.
- Hidden Markov models in computational biology. Applications to protein modeling.
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Structure prediction for CASP7 targets using extensive all‐atom refinement with Rosetta@home
- Hidden Markov models for detecting remote protein homologies
- Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
- A method to identify protein sequences that fold into a known three-dimensional structure.
- Energy functions that discriminate X-ray and near native folds from well-constructed decoys.
- \the Protein Data Bank: a Computer-based Archival Le for Macromolecular Structures,"
- Structure prediction for CASP8 with all-atom refinement using Rosetta
Their papers
- InteractiveROSETTA: a graphical user interface for the PyRosetta protein modeling suite (2015) — 22 citations
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins. (2000) — 348 citations
- Better together: Elements of successful scientific software development in a distributed collaborative community (2020) — 37 citations
- Fast design of arbitrary length loops in proteins using InteractiveRosetta (2018) — 5 citations
- Identification of the Peptide Sequences within the EIIIA (EDA) Segment of Fibronectin That Mediate Integrin α9β1-dependent Cellular Activities* (2008) — 87 citations
- Improved recognition of native‐like protein structures using a combination of sequence‐dependent and sequence‐independent features of proteins (1999)