4c3f Citations

Efficient search of chemical space: navigating from fragments to structurally diverse chemotypes.

Abstract

We introduce a novel strategy to sample bioactive chemical space, which follows-up on hits from fragment campaigns without the need for a crystal structure. Our results strongly suggest that screening a few hundred or thousand fragments can substantially improve the selection of small-molecule screening subsets. By combining fragment-based screening with virtual fragment linking and HTS fingerprints, we have developed an effective strategy not only to expand from low-affinity hits to potent compounds but also to hop in chemical space to substantially novel chemotypes. In benchmark calculations, our approach accessed subsets of compounds that were substantially enriched in chemically diverse hit compounds for various activity classes. Overall, half of the hits in the screening collection were found by screening only 10% of the library. Furthermore, a prospective application led to the discovery of two structurally novel histone deacetylase 4 inhibitors.

Reviews citing this publication (3)

  1. Increasing the delivery of next generation therapeutics from high throughput screening libraries. Wigglesworth MJ, Murray DC, Blackett CJ, Kossenjans M, Nissink JW. Curr Opin Chem Biol 26 104-110 (2015)
  2. The opportunities of mining historical and collective data in drug discovery. Wassermann AM, Lounkine E, Davies JW, Glick M, Camargo LM. Drug Discov Today 20 422-434 (2015)
  3. Small molecules for modulating the localisation of the water channel aquaporin-2-disease relevance and perspectives for targeting local cAMP signalling. Baltzer S, Klussmann E. Naunyn Schmiedebergs Arch Pharmacol 392 1049-1064 (2019)

Articles citing this publication (4)

  1. Fragment virtual screening based on Bayesian categorization for discovering novel VEGFR-2 scaffolds. Zhang Y, Jiao Y, Xiong X, Liu H, Ran T, Xu J, Lu S, Xu A, Pan J, Qiao X, Shi Z, Lu T, Chen Y. Mol Divers 19 895-913 (2015)
  2. Three-Dimensional Biologically Relevant Spectrum (BRS-3D): Shape Similarity Profile Based on PDB Ligands as Molecular Descriptors. Hu B, Kuang ZK, Feng SY, Wang D, He SB, Kong DX. Molecules 21 E1554 (2016)
  3. Discovery of Novel eEF2K Inhibitors Using HTS Fingerprint Generated from Predicted Profiling of Compound-Protein Interactions. Yoshimori A, Kawasaki E, Murakami R, Kanai C. Medicines (Basel) 8 23 (2021)
  4. LCK-SafeScreen-Model: An Advanced Ensemble Machine Learning Approach for Estimating the Binding Affinity between Compounds and LCK Target. Cheng Y, Ji C, Xu J, Chen R, Guo Y, Bian Q, Shen Z, Zhang B. Molecules 28 7382 (2023)