[Method Development] Molecular and Protein Representation Learning

1. ProtEnrich: Residual Multimodal Enrichment of Protein Sequence Embeddings

2. CViT-ESP: Lightweight Pre-trained Vision Transformers for EEG-based Epileptic Seizure Prediction

3. BindScreen: Protein-Centric Contrastive Learning for Sequence-Based Virtual Screening

4. TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models

5. MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning

6. A Machine Learning and Benchmarking Approach for Molecular Formula Assignment of Ultra High-Resolution Mass Spectrometry Data from Complex Mixtures