A random forest learning assisted “divide and conquer” approach for peptide conformation search
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-27167-w.pdf
Reference35 articles.
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2. Yu, W. B. et al. Comprehensive Conformational Studies of Five Tripeptides and a Deduced Method for Efficient Determinations of Peptide Structures. Journal of Physical Chemistry B 116, 2269–2283, https://doi.org/10.1021/jp207807a (2012).
3. Ru, X., Song, C. & Lin, Z. J. Structural Information-Based Method for the Efficient and Reliable Prediction of Oligopeptide Conformations. Journal of Physical Chemistry B 121, 2525–2533, https://doi.org/10.1021/acs.jpcb.6b12415 (2017).
4. Saunders, M. Stochastic Exploration of Molecular Mechanics Energy Surfaces - Hunting for the Global Minimum. Journal of the American Chemical Society 109, 3150–3152, https://doi.org/10.1021/Ja00244a051 (1987).
5. Corcho, F. J., Filizola, M. & Perez, J. J. Evaluation of the iterative simulated annealing technique in conformational search of peptides. Chemical Physics Letters 319, 65–70, https://doi.org/10.1016/S0009-2614(00)00081-6 (2000).
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