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Site Identification and Next Choice Protocol for Hit-to-Lead Optimization.

Genki KudoTakumi HiraoRyunosuke YoshinoYasuteru ShigetaTakatsugu Hirokawa
Published in: Journal of chemical information and modeling (2024)
Time efficiency and cost savings are major challenges in drug discovery and development. In this process, the hit-to-lead stage is expected to improve efficiency because it primarily exploits the trial-and-error approach of medicinal chemists. This study proposes a site identification and next choice (SINCHO) protocol to improve the hit-to-lead efficiency. This protocol selects an anchor atom and growth site pair, which is desirable for a hit-to-lead strategy starting from a 3D complex structure. We developed and fine-tuned the protocol using a training data set and assessed it using a test data set of the preceding hit-to-lead strategy. The protocol was tested for experimentally determined structures and molecular dynamics (MD) ensembles. The protocol had a high prediction accuracy for applying MD ensembles, owing to the consideration of protein flexibility. The SINCHO protocol enables medicinal chemists to visualize and modify functional groups in a hit-to-lead manner.
Keyphrases
  • molecular dynamics
  • randomized controlled trial
  • high resolution
  • electronic health record
  • density functional theory
  • big data
  • mass spectrometry
  • artificial intelligence
  • phase ii
  • amino acid
  • bioinformatics analysis