Abstract: One of the key challenges in computational biology is prediction of three-dimensional protein structures from amino-acid sequences.
Rosetta samples a large number of low-energy conformations by running thousands of independent Metropolis Monte Carlo trajectories in parallel to reveal the ...
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Bibliographic details on Advances in Rosetta protein structure prediction on massively parallel systems.
Advances in Rosetta protein structure prediction on massively parallel systems. S. Raman, B. Qian, D. Baker, and R. Walker.
Aug 15, 2019 · Global analysis of protein folding using massively parallel design, synthesis, and testing. Science 357, 168–175 (2017). Article CAS PubMed ...
Apr 25, 2023 · AlphaFold Protein Structure Database: Massively Expanding the Structural Coverage of Protein-Sequence Space with High-Accuracy Models.
The thesis aims to address a number of the intermediate problems to the tertiary structure prediction problem by developing a novel mixed-integer linear ...
My lab's research focuses on computational protein structure prediction and design, particularly protein- protein docking, therapeutic antibodies, protein ...
PSI-BLAST uses a position-specific scoring matrix to calculate the similarity between two protein sequences and is much more sensitive to weak but biologically ...
Dec 18, 2009 · Raman S et al (2008) Advances in Rosetta protein structure prediction on massively parallel systems. IBM J Res Dev 52:7–17. Article ...