I-Mutant2.0 is a support vector machine (SVM)-based tool for the automatic prediction of
protein stability changes upon single point mutations. I-Mutant2.0 predictions are performed …

Protein stability predictions are becoming essential in medicine to develop novel
immunotherapeutic agents and for drug discovery. Despite the large number of computational …

… For a protein sequence the method predicts whether a given mutation, (eg the residue E
in position 10 is mutated to A) is predicted to be related to a human disease or not. In the first …

A computational approach is essential whenever the complexity of the process under study
is such that direct theoretical or experimental approaches are not viable. This is the case for …

… We also compare SNPs&GO with our previous method (HybridMeth [Capriotti et al., 2006])
based only on sequence and profile information. It appears that SNPs&GO outperforms all …

Marketed drugs frequently perform worse in clinical practice than in the clinical trials on
which their approval is based. Many therapeutic compounds are ineffective for a large …

Motivation: Widespread availability of low-cost, full genome sequencing will introduce new
challenges for bioinformatics. Results: This review outlines recent developments in …

Background A basic question of protein structural studies is to which extent mutations affect
the stability. This question may be addressed starting from sequence and/or from structure. In …

We developed a general approach that combines chromosome conformation capture carbon
copy (5C) with the Integrated Modeling Platform (IMP) to generate high-resolution three-…

Background SNPs&GO is a method for the prediction of deleterious Single Amino acid
Polymorphisms (SAPs) using protein functional annotation. In this work, we present the web …