In this paper we present a resampling technique for structure prediction of small alpha/beta proteins using Rosetta. From an ini- tial round of Rosetta sampling ...
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Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random ...
In this paper we present a resampling technique for structure prediction of small alpha/beta proteins using Rosetta. From an ini- tial round of Rosetta sampling ...
This paper presents a resampling technique for structure prediction of small alpha/beta proteins using Rosetta that uses feature selection methods—both ...
Dec 3, 2007 · In this paper we present a resampling technique for structure prediction of small alpha/beta proteins using Rosetta. From an initial round of ...
Bibliographic details on Feature Selection Methods for Improving Protein Structure Prediction with Rosetta.
Our resampling algorithm has three steps (Figure 1(a)). In the first, “discretization” step, we project an initial set of Rosetta models for the target protein ...
We describe several notable aspects of our structure predictions using Rosetta in CASP12 in the free modeling (FM) and refinement (TR) categories.
The prediction of interresidue contacts and distances from coevolutionary data using deep learning has considerably advanced protein structure prediction. Here, ...
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta. Ben Blum, Michael I. Jordan, David Kim, Rhiju Das, Philip Bradley, ...