A resource-efficient structure-based workflow for fragment progression enables parallel hit discovery and validation of functionally diverse modulators of NCS1 protein–protein interactions

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Authors: Daniel Muñoz-Reyes, Kate K. Fieseler, Max Winokan, Mathew Golding, Eda Çapkın, Matteo Paolo Ferla, Peter George Marples, Celia Miró-Rodríguez, Lorena Aguado, Alicia Mansilla, D. Fearon, Warren Thompson
+2 more F. von Delft, María José Sánchez-Barrena
Cited by: 0

Abstract

This data deposition contains comprehensive experimental and structural data for the NCS1 project: An automated and resource-efficient synchrotron workflow for fragment-to-scaffold progression enables rapid discovery of protein–protein interaction modulators The dataset is organized into several categories: Creoptix kinetic data for ligand binding studies, including the measurement and analysis of crude reaction mixtures for the amidation and sulfonamide series and catalogue compounds. LCMS (Liquid Chromatography-Mass Spectrometry) data for compound characterization, divided into batches and series. OT-script data for automated experimental protocols, with batch-wise organization. PDB deposition files for NCS1 ligand-bound structures, including model coordinates (.cif), structure factors (.mtz, .cif), and event maps for multiple ligands. Documentation files (README) for each data type, providing details on experimental procedures and file contents.

Fields of Study & Subjects

Enzyme Structure and Function Computational Drug Discovery Methods Receptor Mechanisms and Signaling

Publication details

Journal / source
DIGITAL.CSIC (Spanish National Research Council (CSIC))
Publication date
5 March 2026
Language
EN
Document type
Dataset