Eguida, M.

CACHE Challenge #1: Targeting the WDR Domain of LRRK2, A Parkinson's Disease Associated Protein.

The CACHE challenges are a series of prospective benchmarking exercises to evaluate progress in the field of computational hit-finding.

Li, F.

Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2.

We herewith applied a priori a generic hit identification method (POEM) for difficult targets of known three-dimensional structure, relying on the simple knowledge of …

Eguida, M.

Protein Structure-Based Organic Chemistry-Driven Ligand Design from Ultralarge Chemical Spaces.

Ultralarge chemical spaces describing several billion compounds are revolutionizing hit identification in early drug discovery.

Sindt, F.

Target-Focused Library Design by Pocket-Applied Computer Vision and Fragment Deep Generative Linking.

We here describe a computational approach (POEM: Pocket Oriented Elaboration of Molecules) to drive the generation of target-focused libraries while taking advantage of all …

Eguida, M.

Estimating the Similarity between Protein Pockets.

With the exponential increase in publicly available protein structures, the comparison of protein binding sites naturally emerged as a scientific topic to explain observations or …

Eguida, M.

Unexpected similarity between HIV-1 reverse transcriptase and tumor necrosis factor binding sites revealed by computer vision.

Rationalizing the identification of hidden similarities across the repertoire of druggable protein cavities remains a major hurdle to a true proteome-wide structure-based …

Eguida, M.

A Computer Vision Approach to Align and Compare Protein Cavities: Application to Fragment-Based Drug Design.

Identifying local similarities in binding sites from distant proteins is a major hurdle to rational drug design.

Eguida, M.