background pattern
Antibody Design

Rationally design potent, safe, and developable monoclonal antibodies

Antibody Design

Capabilities for structure-based design of antibodies

In traditional IgG or alternative formats

Construct reliable 3D structural models of antibodies directly from sequence

  • Predict antibody structure using a fully guided homology modeling workflow that incorporates de novo CDR loop conformation prediction
  • Perform batch homology modeling to accelerate model construction for a parent sequence and its variants
  • Identify and prioritize promising leads by modeling and triaging antibody sequences with prediction tools for structure characterization

Streamline rational antibody humanization

  • Generate humanized antibodies through CDR grafting in conjunction with targeted residue mutations
  • Evaluate the percentage of humanness of resulting constructs

Understand and predict antibody-antigen interactions

  • Predict antibody-antigen complex structures through ensemble protein-protein docking
  • Enhance resolution of experimental epitope mapping data (e.g. mutagenesis or mass-spectroscopy) from peptide to residue level detail
  • Identify favorable antibody-antigen contacts through fast protein-protein docking
  • Interrogate and analyze predicted protein-protein interactions with an easily accessible graphical user interface

Derisk development by uncovering potential liabilities earlier

  • Identify and prioritize promising leads by modeling and triaging antibody sequences with prediction tools for structure characterization
  • Highlight potential surface sites for post-translational modification and chemical reactivity
  • Detect potential hotspots for aggregation using computational protein surface analysis

Engineer antibodies in silico

  • Accurately predict the impact of residue substitution on binding affinity, selectivity, and thermostability
  • Rapidly identify mutants with the highest likelihood of meeting project thermostability, binding affinity, and selectivity requirements using MM/GBSA, a fast molecular mechanics-based method
  • Refine candidate selection using a systematically validated, free energy-based workflow which provides an accuracy that reproduces experimentally determined relative free energies
dark theme background
Featured CourseAntibody Modeling Online Course

Learn antibody modeling with our hands-on online course

Level-up your skills by enrolling in our online course, Introduction to Computational Antibody Engineering.

Learn More

Webinars

Discover how Schrödinger technology is being used to solve real-world research challenges.

Optimizing Protein Stability Using New Computational Design Approaches for Biologics
Accelerating Antibody Drug Discovery Through Computational Modeling
dark theme background

Key Products

Learn more about the key computational technologies available to progress your research projects.

BioLuminate

Comprehensive modeling platform for biologics discovery

Prime

A powerful and innovative solution for accurate protein structure prediction

PIPER

A state-of-the-art protein-protein docking program

Desmond

High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy

FEP+

High-performance free energy calculations for drug discovery

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

A novel method for in silico assessment of Methionine oxidation risk in monoclonal antibodies: Improvement over the 2-shell model

Tavella, D. et al. Open access. 2022

Biological activity validation of a computationally designed Rituximab/CD3 T cell engager targeting CD20+ cancers with multiple mechanisms of action

Cai, W. et al. Antibody Therapeutics, 2021, 4(4), 228-241

Relative Binding Affinity Prediction of Charge-Changing Sequence Mutations with FEP in Protein–Protein Interfaces

Clark, A. J. et al. Journal of Molecular Biology, 2019, 431(7), 1481-1493

Software and services to meet your organizational needs

Software Platform

Deploy digital drug discovery workflows using a comprehensive and user-friendly platform for molecular modeling, design, and collaboration.

Research Services

Leverage Schrödinger’s computational expertise and technology at scale to advance your projects through key stages in the drug discovery process.

Support & Training

Access expert support, educational materials, and training resources designed for both novice and experienced users.