François Ancien

FAIRification of computational models in biology

The paper proposes adapting FAIR indicators to assess and improve the quality and transparency of computational models in biology.

Critical assessment of missense variant effect predictors on disease-relevant variant data

The paper evaluates missense variant effect predictors using CAGI6 data, finding strong performance across settings and highlighting biases in some predictors.

MutaFrame - an interpretative visualization framework for deleteriousness prediction of missense variants in the human exome

MutaFrame provides a visualization framework to interpret deleteriousness predictions of missense variants by integrating sequence, structure, and functional data.

SWOTein: A structure-based approach to predict stability Strengths and Weaknesses of prOTEINs

SWOTein predicts stability strengths and weaknesses in proteins using statistical energy functions, showing agreement with experimental data and identifying functional regions.

Prediction and interpretation of deleterious coding variants in terms of protein structural stability

The paper develops a stability-driven classifier to predict deleterious coding variants based on protein structural stability, achieving 71% balanced accuracy and 89% positive predictive value.