# Frags2Drugs: A Novel In Silico Fragment-Based Approach to the Discovery of Kinase Inhibitors

**Authors:** Gautier Peyrat, Colin Bournez, Pascal Krezel, José-Manuel Gally, Stéphane Bourg, Samia Aci-Sèche, Pascal Bonnet

PMC · DOI: 10.3390/ph19020308 · 2026-02-12

## TL;DR

Frags2Drugs is a new computer-based method for designing kinase inhibitors by combining fragments in the ATP-binding site of protein kinases.

## Contribution

Frags2Drugs introduces a novel in silico fragment-based drug design approach for generating kinase inhibitors.

## Key findings

- Frags2Drugs successfully reconstructed known co-crystallized ligands and kinase inhibitors.
- The method can design various types of inhibitors, including type I, type I1/2, type II, and macrocyclic inhibitors.
- Molecular filters improve the selection of kinase inhibitor-like molecules with predicted affinity.

## Abstract

Background/Objectives: Fragment-based approaches in the field of drug discovery and design have been widely developed and employed in both academia and industry. We present here an innovative in silico fragment-based drug design approach aimed at designing new inhibitors in the ATP-binding site of protein kinases. Methods: This tool, named Frags2Drugs (F2D), relies on a three-dimensional fragment library obtained from co-crystallized ligands. This library is stored in a graph-oriented database containing the required information to link fragments together. F2D builds every possible molecule that fits into the given cavity on a minute scale. Molecules are then filtered to keep those presenting the best predicted affinity. Several specific molecular filters can be applied, including protein kinase inhibitor-like filters. Results: We validated our method by reconstructing existing co-crystallized ligands and known kinase inhibitors. In this study, we provide several examples of its use to retrieve known or design new type I, type I1/2, type II, and macrocyclic inhibitors on several protein kinases. Conclusions: We have developed an in silico fragment-based ligand design tool able to identify novel kinase inhibitors by growing any scaffolds positioned in the ATP-binding site..

## Full-text entities

- **Genes:** UCN (urocortin) [NCBI Gene 7349] {aka UCN1, UI, UROC}, RAF1 (Raf-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 5894] {aka CMD1NN, CRAF, NS5, Raf-1, c-Raf}, MPO (myeloperoxidase) [NCBI Gene 4353], ABL1 (ABL proto-oncogene 1, non-receptor tyrosine kinase) [NCBI Gene 25] {aka ABL, BCR-ABL, CHDSKM, JTK7, bcr/abl, c-ABL}, ALK (ALK receptor tyrosine kinase) [NCBI Gene 238] {aka ALK1, CD246, NBLST3}, EPHA8 (EPH receptor A8) [NCBI Gene 2046] {aka EEK, EK3, HEK3}, BRAF (B-Raf proto-oncogene, serine/threonine kinase) [NCBI Gene 673] {aka B-RAF1, B-raf, BRAF-1, BRAF1, NS7, RAFB1}, ZHX2 (zinc fingers and homeoboxes 2) [NCBI Gene 22882] {aka AFR1, RAF}, ERBB2 (erb-b2 receptor tyrosine kinase 2) [NCBI Gene 2064] {aka CD340, HER-2, HER-2/neu, HER2, MLN 19, MLN-19}, INSR (insulin receptor) [NCBI Gene 3643] {aka CD220, HHF5}, CAMK2G (calcium/calmodulin dependent protein kinase II gamma) [NCBI Gene 818] {aka CAMK, CAMK-II, CAMKG, MRD59}, MELK (maternal embryonic leucine zipper kinase) [NCBI Gene 9833] {aka HPK38}, SRC (SRC proto-oncogene, non-receptor tyrosine kinase) [NCBI Gene 6714] {aka ASV, SRC1, THC6, c-SRC, p60-Src}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}
- **Diseases:** cytotoxic (MESH:D064420), neurological troubles (MESH:D009461), autoimmune, (MESH:D001327), type (MESH:D006969), B-Rapidly Accelerated Fibrosarcoma (MESH:D005354), PKIDB (MESH:D054179), cancer (MESH:D009369), CML (MESH:D015464), injury to (MESH:D014947), melanoma (MESH:D008545)
- **Chemicals:** hydroxyurea (MESH:D006918), hydrogen (MESH:D006859), benzamide (MESH:C037689), ATP (MESH:D000255), nilotinib (MESH:C498826), 7-azaindole (MESH:C023422), dasatinib (MESH:D000069439), busulfan (MESH:D002066), amine (MESH:D000588), carbohydrate (MESH:D002241), CHEMBL3355060 (-), Balversa (MESH:C000604580), bafetinib (MESH:C506918), Asp-Phe-Gly (MESH:C553185), lorlatinib (MESH:C000590786), pyridine (MESH:C023666), Nexavar (MESH:D000077157), bosutinib (MESH:C471992), crizotinib (MESH:D000077547), imatinib (MESH:D000068877), staurosporine (MESH:D019311), pyrrolo[2,3-b]pyridine (MESH:C486292), aminopyridine (MESH:D000631), radotinib (MESH:C000606751), N (MESH:D009584), ester (MESH:D004952), C (MESH:D002244), Vemurafenib (MESH:D000077484), capivasertib (MESH:C575618), phosphate (MESH:D010710), masitinib (MESH:C526575), flumatinib (MESH:C553360)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]
- **Mutations:** Serine-Threonine, V600E, L1196M

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12944305/full.md

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Source: https://tomesphere.com/paper/PMC12944305