PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
August 1, 2024BMC BioinformaticsOpen Access

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery

View Full Paper
Ask AI
Bookmark
Share

Authors

NANicholas AksamitATAlain TchagangYLYifeng Li

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Aksamit et al. (2024) studied this question.

synapsesocial.com/papers/68e5dc4ab6db643587571cc1https://doi.org/10.1186/s12859-024-05861-z
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Hybrid Fragment-SMILES Tokenization for ADMET Prediction in Drug Discovery2024
  2. 2Transformer-based molecular fragment prediction using SMILES and DeepSMILES representations in a fragment-based drug discovery pipeline2026
  3. 3Advancing ADMET prediction through multiscale fragment-aware pretraining with MSformer-ADMET.2025 · 11 citations
  4. 4Improving predictive performance for molecular <scp>ADMET</scp> properties using a chemical language model2026
  5. 5DeBERTa-Based SMILES Encoders for ADMET-Aware Drug Design2025