Joan Planas-Iglesias

This study uses ultrahigh-throughput screening to identify mutations in dehalogenases that modulate substrate access and binding, revealing distal functional effects on enzyme dynamics.

ProtXAI combines molecular dynamics and explainable AI to identify residue-level determinants of protein conformational changes across diverse systems.

This study shows taurine inhibits ApoE4 aggregation and reduces its pathophysiological effects, similar to tramiprosate and 3-sulfopropanoic acid.

ModCRElib is a package for modeling cis-regulatory elements, offering tools for TF-DNA interaction analysis, binding motif prediction, and regulatory complex modeling.

This study investigates the conformational flexibility of staphylokinase variants to explain their reduced immunogenicity and altered properties.

This study identifies conformational dynamics as a key determinant of luciferase catalytic efficiency and light-emission stability, revealing a trade-off between oxygen affinity and enzyme longevity.

PredictONCO is a web tool that predicts the impact of mutations in cancer-related proteins using structural and sequence-based features, achieving high accuracy in variant classification.

This paper presents a bioinformatics pipeline for analyzing missense mutations in oncogenic proteins, providing a probability score for functional impact and suggesting potential FDA/EMA-approved drugs.

This paper develops a deep neural network predictor, AggreProt, to identify aggregation-prone regions in proteins and demonstrates its utility in designing mutations to suppress aggregation.

The paper investigates how the C112R mutation in ApoE4 causes aggregation and shows that tramiprosate reduces this aggregation.