Posters

Board	Poster	Poster
A	1. Structure-Independent Peptide Binder Design via Generative Language Models by Pranam Chatterjee	2. Generative AI for designing easily synthesizable antibiotics by Kyle Swanson
B	3. Deep learning-guided discovery of a narrow-spectrum antibacterial molecule against Acinetobacter baumannii by Gary Liu	4. Von Mises Mixture Distributions for Molecular Conformation Generation by Kirk Swanson
C	5. Structure-aware protein self-supervised learning by Can Chen	6. Comprehensive Study On The Applicability of Machine Learning Methods for Covalent Activity Prediction by Victor Hugo Cano Gil
D	7. Machine Learning Predicts Blue Emission from OLEDs: Ensemble Learning on Small, Heterogeneous Datasets based on a Benzobisoxazole Core by Shambhavi Tannir	8. Probing Graph Representations by Mohammad Sadegh Akhondzadeh
E	9. Predicting Activity Cliffs by Contrasting Domain Knowledge Views of Molecular Graphs by Ghaith Mqawass	10. Goal-conditioned GFlownets for Controllable Multi-Objective Molecular Design by Julien Roy
F	11. GPS++: Reviving the Art of Message Passing for Molecular Property Prediction by Graphcore	12. datamol: Molecular Processing Made Easy by Emmanuel Noutahi

Board	Poster	Poster
A	13. Discrete denoising diffusion models for molecular graph generation - speed vs accuracy by Sourjya Sarkar	14. DiffDock does not outperform DOCK at the DUDE-Z retrospective decoy discrimination task by Jose Miguel I Limcaoco
B	15. Importance Weighted Variational Bayes for Protein Sequence Design by Zhenqiao Song	16. CLAIRify: Generating chemistry experiment plans from natural language inputs by Marta Skreta
C	17. Comparing Three PROTAC Virtual Screening Tools for Accurate Prediction and Screening Efficacy by Evianne Rovers	18. Siamese Graph Neural Networks for Drug Discovery by Muhammad Maaz
D	19. FAENet: Frame Averaging Equivariant GNN for Materials Modeling by Alexandre Duval	20. MoDTI: Modular Framework for Evaluating Inductive Biases in DTI Modeling by Roy Henha Eyono
E	21. Powering Graph Transformers via Pre-trained Graph Positional and Structural Encoder by Renming Liu	22. Denoising diffusion for 3D structure determination from isotopologue rotational spectroscopy in natural abundance by Austin H Cheng
F	23. Repurposing Density Functional Theory to Suit Deep Learning by Graphcore	24. molfeat: an Open-Source Hub of Molecular Featurizers by Emmanuel Noutahi