Latest Research in Advanced Proteomics Techniques and Applications

12 research papers · 2026 median publication year

Top Research Topics in Advanced Proteomics Techniques and Applications

Highest-Cited Papers

  1. EVOLUTION OF COMPUTER-AIDED DRUG DESIGN: EMERGING TECHNOLOGIES AND FUTURE OPPORTUNITIES IN DRUG DISCOVERY
  2. EVOLUTION OF COMPUTER-AIDED DRUG DESIGN: EMERGING TECHNOLOGIES AND FUTURE OPPORTUNITIES IN DRUG DISCOVERY
  3. A hybrid BiLSTM transformer model for drug synergy prediction
  4. Machine learning-based rescoring with MS²Rescore boosts peptide identification and taxonomic specificity in metaproteomics
  5. HFEDTI: A DTI Prediction Model Integrating Local–Global Feature Fusion and Weighted Ensemble Learning
  6. HSSynergy: scale-aware hierarchical attention for interpretable drug synergy prediction
  7. AI-Powered Marine Drug Discovery: A Putative Dual c-Met/VEGFR2 Lead Candidate for Hepatocellular Carcinoma via Deep Learning and Multiscale Simulation
  8. Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation
  9. Calibrated stacked learning for source-aware screening of ABL1/BCR–ABL1 mutation–TKI resistance
  10. A Perspective on Covalent Hit Identification and Validation in the European Pharmaceutical Industry
  11. Tomdok: a fully reproducible, multi-engine virtual screening pipeline with data-driven safety annotation for genome-scale drug repurposing
  12. GPCR-GO: Relation-aware graph learning for predicting Gene Ontology terms of G protein-coupled receptors
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L3 Region - - 2026 Sep Q3

Advanced Proteomics Techniques and Applications

12 papers

Top Topics (5)

Computational Drug Discovery Methods8
Advanced Proteomics Techniques and Applications1
Liver physiology and pathology1
Chronic Myeloid Leukemia Treatments1
Machine Learning in Bioinformatics1

Top Publications (12)

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