Structure Based Thermostability Prediction Models for Protein Single Point Mutations with Machine Learning Tools

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Combining Structural Modeling with Ensemble Machine Learning to Accurately Predict Protein Fold Stability and Binding Affinity Effects upon Mutation

(2014) Niklas Berliner et al.   PLoS One

Chemical predictive modelling to improve compound quality

(2013) John G. Cumming et al.   NATURE REVIEWS DRUG DISCOVERY

Computational Modeling Methods for QSAR Studies on HIV-1 Integrase Inhibitors (2005-2010)

(2012) Gene M. Ko et al.   Current Computer-Aided Drug Design

Assessing Predictors of Changes in Protein Stability upon Mutation Using Self-Consistency

(2012) Grant Thiltgen et al.   PLoS One

PROTS-RF: A Robust Model for Predicting Mutation-Induced Protein Stability Changes

(2012) Yunqi Li et al.   PLoS One

Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site

(2011) Gilad Wainreb et al.   BIOINFORMATICS

PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimality

(2011) Yves Dehouck et al.   BMC BIOINFORMATICS

SDM--a server for predicting effects of mutations on protein stability and malfunction

(2011) C. L. Worth et al.   NUCLEIC ACIDS RESEARCH

Prots: A fragment based protein thermo-stability potential

(2011) Yunqi Li et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Predicting changes in protein thermostability brought about by single- or multi-site mutations

(2010) Jian Tian et al.   BMC BIOINFORMATICS

Role of conformational sampling in computing mutation-induced changes in protein structure and stability

(2010) Elizabeth H. Kellogg et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0

(2009) Yves Dehouck et al.   BIOINFORMATICS

Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details

(2009) V. Potapov et al.   PROTEIN ENGINEERING DESIGN & SELECTION

Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis

(2008) M. Masso et al.   BIOINFORMATICS

Protein folding: Then and now

(2007) Yiwen Chen et al.   ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS