A simplified homology-model builder toward highly protein-like structures: An inspection of restraining potentials

Autor: Sangho Oh, Jinhyuk Lee, Sanghyuk Lee, Seokmin Shin, Joshua SungWoo Yang, Tae Rae Kim
Rok vydání: 2012
Předmět:
Zdroj: Journal of Computational Chemistry. 33:1927-1935
ISSN: 0192-8651
DOI: 10.1002/jcc.23024
Popis: A homology model builder using simple restraining potentials based on spline-interpolated quadratic functions is developed and interfaced with CHARMM package. The continuity and stability of the potential function were validated, and the parameters were optimized using the CASP7 targets. The performance of the model builder was benchmarked to the Modeller program using the template-based modeling targets in CASP9. The benchmark results show that, while our builder yields the structures with slightly lower packing, backbone, and template modeling scores, our models show much better protein-like scores in terms of normalized discrete optimized protein energy, dipolar distance-scaled finite-ideal gas reference, Molprobity clash, Ramachandran appearance Z-score, and rotamer Z-score. As our model builder is interfaced with CHARMM, it is advantageous to directly use other CHARMM functionality and energy functions to refine the model structures or to use the models for other computational studies using CHARMM.
Databáze: OpenAIRE