Abstract:Bayesian Inference of Conformational
Populations (BICePs)
version
2.0 (v2.0) is a free, open-source Python package that reweights theoretical
predictions of conformational state populations using sparse and/or
noisy experimental measurements. In this article, we describe the
implementation and usage of the latest version of BICePs (v2.0), a
powerful, user-friendly and extensible package which makes several
improvements upon the previous version. The algorithm now supports
many experimental NMR observables (NOE… Show more
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