March 29–April 01, 2027 | La Fonda on the Plaza, Santa Fe, NM, United States
Scientific Organizers:
Nicholas F. Polizzi, Torben Schiffner, and Amy E. Keating
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Scientific Organizers: Nicholas F. Polizzi, Torben Schiffner, and Amy E. Keating
Nicholas F. Polizzi, PhD
Dana-Farber Cancer Institute
Torben Schiffner, PhD
Scripps Research
Amy E. Keating, PhD
Massachusetts Institute of Technology
***Meeting program subject to change.
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Monday, March 29, 2027
Tuesday, March 30, 2027
Directed Evolution Meets Machine Learning: Evolving Novel Catalysts with Predictive Design
Predicting and Designing Protein–Peptide Interaction Specificity with Computational Models
Free-Energy Calculations at Scale: Predicting Affinity and Selectivity for Protein–Ligand Design
Generative AI for Protein Design and Structure Prediction
Modeling Conformational Ensembles
De novo Design of a Single-Chain Small-Molecule Biosensor
Rewiring Allosteric Signaling in Cellular Proteins Using Rational and ML-Driven Approaches
Wednesday, March 31, 2027
Closed-Loop Protein Engineering: Integrating Robotics, ML, and Massive Sequence–Function Maps
Scaling Up the Biofoundry: High-Throughput Genetic and Enzymatic Function Discovery with AI in the Loop
Evolutionary-Scale Enzymology Enables Exploration of a Rugged Catalytic Landscape
Designing Therapeutic Miniproteins using Automation
The Folding- and Catalytic-Thermodynamics of Designed and Natural Enzymes
Mechanistic Insights from Designed Enzymes: Toward Tailor-Made Catalysts for New Chemistry
Design of Lid Motifs in TIM Barrels for Catalysis
Design of Functional Gene Editors using PLMs
Thursday, April 1, 2027
From Nanoparticles to Immunogens: Designing Functional Protein Assemblies for Biological Applications
Programmable Protein Scaffolds for Targeted Immune Modulation and Viral Neutralization
Synthetic Transcription Factors and Designer Proteins for Controlling Immune Cell Fate
Assembling Membraneless Organelles from de novo Designed Proteins
AI Models for Chemistry at the Protein Interface: Learned Potentials for Reactivity and Binding
Toward the Explainability of Protein Language Models for Sequence Design
ProteinGuide: On-the-Fly Property Guidance for Protein Sequence Generative Models
Protein Diffusion Models as Statistical Potentials
Friday, April 2, 2027
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