PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026Digital Discovery0 citationsOpen Access

A simple compound prioritization method for drug discovery considering multi-target binding

AKAlžbeta KubincováUniversity of California, IrvineDMDavid MobleyUniversity of California, Irvine

Key Points

  • To develop a prioritization method for drug candidates that considers multiple properties influencing drug utility.
  • Applied active learning to prioritize compounds for drug discovery.
  • Considered multi-target binding properties in the evaluation process.
  • Optimized compounds not just for potency but for overall utility.
  • Identified compounds with enhanced multi-target binding capabilities.
  • Demonstrated an increase in compound utility compared to traditional methods.
  • Showed that prioritizing multi-target properties can improve drug discovery outcomes.

Abstract

Active learning is an emerging paradigm used to help accelerating drug discovery, but most prior applications seek solely to optimize potency, whereas multiple properties influence a compound's utility as a drug candidate.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kubincová et al. (2026) studied this question.

synapsesocial.com/papers/698d6df45be6419ac0d53531https://doi.org/10.1039/d5dd00464k
Ask AI
Helpful
Bookmark
Share
View Full Paper