2025 Poster Presentations

 

Poster Session A: Tuesday - Wednesday (morning)

A01: Co-Evolution of SARS-CoV-2 and a Human Therapeutic mAb to Neutralize All Variants to Date, Presented by Kevin E., Abwiz Bio, Inc.

A14: Accelerate Kinetic Screening and Epitope Characterization of Antibody Libraries with High Throughput SPR, Presented by Chris S., Carterra, Inc.

A15: Full Antigen Kinetics of Fabs Directly from Crude Periplasmic Extracts on an Anti-CH1 Capture Surface, Presented by Chris S., Carterra, Inc.

A16: High-Affinity Nanobodies Targeting Mesothelin (MSLN): In-Silico Design and Experimental Validation for TNBC Therapeutics, Presented by Mehedi H., Delaware State University

A18: Bispecific Antibodies Targeting the ENG-ALK1-BMPRII Axis as a Novel Approach for the Treatment of HHT, Presented by Aysheh A., Diagonal Therapeutics

A26: Empirical, Solution-State Epitope/Paratope Interactions to Constrain In Silico Models for Antibody Design and Targeted Engineering, Presented by Dan B., Immuto Scientific

A34: A Computational Framework for Assessing Antibody Mutations Aimed at Enhancing Their Half-Life, Presented by Myungjin L., National Institutes of Health, National Institute of Allergy and Infectious Diseases

A38: Early Biophysical Developability Assessment of Antibody-Drug Conjugates Using Microplate Assays in High Throughput, Presented by Sebastian G., PAIA Biotech GmbH

A40: Mimic Antibodies and How to Find Them, Presented by Brennan AK., Roche Diagnostics GmbH

 

Poster Session B: Wednesday (afternoon) - Thursday

B08: Methods to Reduce Anti-Drug Antibody Formation by Removing T Cell Epitopes, Presented by Yifan S., Cyrus Biotechnology

B16: A Neural Network to Predict the Rosetta Energies of Protein Residues to Inject into AI Antibody Structure Prediction, Presented by Britnie C., Johns Hopkins University

B17: Evaluating the Biological Realism of IgLM-Generated Antibody Sequences for Drug Development, Presented by Natalia R., Johns Hopkins University

B18: Are Ab Language Models Learning Heavy-Light Pairing Semantics?, Presented by Donovan V., Johns Hopkins University

B23: AI-Driven Paratope Mapping for Antibody Discovery: Enhancing Selection Through the KisoSeek™ Platform, Presented by Chris C., KisoJi Biotechnology

B28: Clone-Wise Biomarker Discovery Enabled Through Single-Cell RNA Sequencing, Presented by Alessandro D., Lonza AG

B35: Developability Assessment for Nonspecificity and Polyspecificity in High-Throughput Bead-Based Assays in Microplates, Presented by Aris P., PAIA Biotech GmbH

B39: Antibody Optimization with Physics Based Modeling and Protein Descriptors for Machine Learning, Presented by Sunidhi L., Schrodinger, Inc.

B40: Enabling De Novo Antibody Design by Integrating ML-Based Sequence Generation with B Cell Epitope Prediction, Presented by Leigh M., Seismic Therapeutic

B41: Modular Multi-Objective Optimization Method for Generative Design of Proteases with Therapeutic Potential, Presented by June S., Seismic Therapeutic

B49: Leveraging Novel In Vivo Datasets to Generate Machine Learning Models Predicting Protein Aggregation and Developability, Presented by Conor M., University of Leeds

B50: Prediction of Antibody Properties for Optimization: Leveraging High-Throughput Data Collection System of Thermal Stability and Interaction Kinetics, Presented by Sae I., University of Tokyo

 

Additional Virtual Posters

V1: Accurate and Efficient Chemical Similarity Search Tool and Contact-Distribution- Matching Method Jointly Identify FDA-Approved Drugs that Modulate SARS- CoV2 -1PRF and Suppress Its Replication, Presented by Ahmed R., National Tsing Hua University

V2: Learning Protein Fitness Landscapes with Deep Mutational Scanning Data from Multiple Sources, Presented by Lin C., Shanghai Institute of Materia Medica

 

Posters for PepTalk and BioLogic Summit are combined. Please see PepTalk for a complete list of poster offerings.

 


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Event-At-a-Glance

MODELING AND PREDICTION STREAM

Models for De Novo Design

Predicting Developability and Optimization Using Machine Learning