Methods for Protein Structure Prediction - Fox Chase Cancer Center

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Backbone-dependent rotamer library 2008 g+ trans g- Derived using non-parametric statistics: Adaptive kernel density estimates (for probabilities) and kernel regression (for dihedral angle means and variances) Shapovalov and Dunbrack, 2007, 2008
2900 licenses in 73 countries SCWRL4 accuracy Percent Delta Chi1 < 40° 95 90 85 80 75 70 65 60 55 50 ALL ASN ASP GLN GLU 0 20 40 60 80 100 Percentile of electron density Uses new algorithms for fast collision detection and graph decomposition, and a new hydrogen bond function and a backbonedependent rotamer library
Page 1 and 2: Methods for Protein Structure Predi
Page 3 and 4: Targets involved in DNA repair, apo
Page 5 and 6: CBS Domains of Cystathionine Beta S
Page 7 and 8: Q556H W557S W557G W557R V559A V559C
Page 9 and 10: Designing new mutations to affect f
Page 11 and 12: Hints at function Human SULT4A1 Sul
Page 13 and 14: Identification and Alignment Search
Page 15 and 16: Loop modeling Shift in loop Deletio
Page 17 and 18: Always requires: Prediction at Each
Page 19: Backbone-dependent rotamer library
Page 23 and 24: Future technologies • Modeling of
Page 25 and 26: Fox Chase Cancer Center Molecular M

Methods for Protein Structure Prediction - Fox Chase Cancer Center

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