Laura Orellana

This paper introduces a coarse-grained simulation framework combining Elastic Network Models and Brownian Dynamics to efficiently generate protein conformational ensembles, showing high accuracy in reproducing residue fluctuations and dominant motions.

This paper introduces a coarse-grained modeling framework to analyze how mutations affect protein conformational dynamics and identifies mutation-sensitive regions.

This paper presents a structure-aware framework for interpreting genomic variants in genetic skeletal disorders by integrating structural data and variant annotations.

The paper introduces edENM, an elastic network model refined for DNA, RNA, and protein-nucleic acid complexes, showing better agreement with experimental data than previous models.

This study presents a cryo-EM structure of human 5-lipoxygenase bound to ATP, revealing how ATP regulates enzyme activity through specific amino acid interactions and conformational changes.