SPRINT: side-chain prediction inference toolbox for multistate protein design
暂无分享,去创建一个
[1] Menachem Fromer,et al. Accurate prediction for atomic‐level protein design and its application in diversifying the near‐optimal sequence space , 2009, Proteins.
[2] Roland L. Dunbrack,et al. Backbone-dependent rotamer library for proteins. Application to side-chain prediction. , 1993, Journal of molecular biology.
[3] P. Harbury,et al. Automated design of specificity in molecular recognition , 2003, Nature Structural Biology.
[4] D. Baker,et al. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy , 2003, Science.
[5] Menachem Fromer,et al. Dead‐end elimination for multistate protein design , 2007, J. Comput. Chem..
[6] A R Leach,et al. Exploring the conformational space of protein side chains using dead‐end elimination and the A* algorithm , 1998, Proteins.
[7] Menachem Fromer,et al. A computational framework to empower probabilistic protein design , 2008, ISMB.
[8] B. Kuhlman,et al. Computational design of a single amino acid sequence that can switch between two distinct protein folds. , 2006, Journal of the American Chemical Society.
[9] Menachem Fromer,et al. Tradeoff Between Stability and Multispecificity in the Design of Promiscuous Proteins , 2009, PLoS Comput. Biol..
[10] G. Schreiber,et al. Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details. , 2009, Protein engineering, design & selection : PEDS.
[11] S. A. Marshall,et al. Energy functions for protein design. , 1999, Current opinion in structural biology.
[12] C. Yanover,et al. Design of multispecific protein sequences using probabilistic graphical modeling , 2010, Proteins.