This study aims to predict ligand binding to protein binding sites using machine learning techniques. By analyzing the structural and geometric features of binding sites from the Protein Data Bank (PDB), we aim to identify patterns that correlate with ligand binding specificity. We employ various machine learning algorithms, including neural networks, to classify ligands based on their potential to bind to specific binding sites. Our findings have the potential to expedite drug discovery and enhance our understanding of protein-ligand interactions.
Racheli Efrati is a master’s student in financial mathematics specializing in machine learning. With a background in data science and AI and proficiency in Python, she applies her skills to diverse projects in fields like finance, healthcare, and technology.
| 8:45 | Reception |
|---|---|
| 9:30 | Opening remarks by WiDS TLV ambassadors |
| 9:45 | Dr. Mor Geva , Tel Aviv University: “MRI for Large Language Models: Mechanistic Interpretability from Neurons to Attention Heads” |
| 10:15 |
Panel: “Pioneering Progress: a strategic look at the GenAI revolution and the new role of data scientists“ Shani Gershtein, Melingo Mirit Elyada Bar, Intuit Dr. Asi Messica, Lightricks Moderated by Nitzan Gado, Intuit |
| 10:45 | Poster pitches |
| 10:55 | Break |
| 11:10 | Lightning talks session |
| 12:30 | Lunch & poster session |
|---|---|
| 13:30 | Roundtable session & poster session |
| 14:30 | Roundtable closing |
| 14:40 | Shunit Agmon, Technion: “Bridging the Gender Gap in Clinical AI: Temporal Adaptation with TeDi-BERT” |
| 15:00 | Shaked Naor Hoffmann, Apartment List: “Building Generative AI Agents for Production: Turning Ideas into Real-World Applications” |
| 15:20 | Closing remarks |
| 15:30 | The end |
WiDS Tel Aviv is an independent event that is organized by Intuit’s WiDS TLV ambassadors as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
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Scotty – By Nir Azoulay
Design: Sharon Geva
