Research blog

Genolux Research Blog

Working notes from the Genolux team: CDR loop prediction methodology, Rosetta energy function behavior, phage display cost breakdowns, AlphaFold2 accuracy limits, and what the developability literature actually says about which physicochemical flags predict failure.

All articles

CDR loop optimization and affinity maturation visualization

CDR Design

CDR Optimization and Affinity Maturation: When to Go Computational

Affinity maturation via single-point CDR mutations is one of the most tractable computational problems in antibody engineering — if you know which positions matter.

Dr. Elena Voss
Binding affinity prediction and structural modeling concept

Affinity Prediction

Predicting Binding Affinity Without an Experimental Structure

Most antibody discovery programs don't have a co-crystal structure at the hit identification stage. We describe how AlphaFold2 Fv predictions substitute for experimental structures.

Marcus Chen
Physicochemical property assessment and developability scoring visualization

Developability

Developability Scoring: Which Physicochemical Properties Actually Predict Failure

Dozens of physicochemical properties have been proposed as developability flags. We analyzed 400 therapeutic antibodies to identify which 7 metrics have predictive value at the sequence stage.

Dr. Priya Nair
Cost comparison between phage display and computational antibody screening

Methods Comparison

Phage Display vs. Computational Screening: A Cost-Per-Lead Analysis

A standard phage display campaign screens 109 variants over 6-8 weeks at $600K-$1.2M fully loaded. The math makes the case for computational pre-screening plainly.

Dr. Elena Voss
AlphaFold2 protein structure prediction with uncertainty visualization for antibody loops

Methods

AlphaFold2 for Antibody Design: Real Limitations You Need to Know

AlphaFold2 transformed protein structure prediction — but its CDR loop accuracy, especially for CDR H3 loops longer than 14 residues, is meaningfully worse than for structured domains.

Marcus Chen
Antibody manufacturability assessment showing expression yield prediction

Developability

Manufacturability Assessment in Early Antibody Design: Stop Ignoring Expression Yield

Low-expressing variants routinely make it to cell-line development before the issue surfaces. We describe the sequence features that predict expression failure.

Dr. Priya Nair
Rosetta energy function visualization for antibody-antigen docking

Methods

Rosetta Energy Functions for Antibody-Antigen Docking: REF2015 vs. Talaris2014

Rosetta's antibody-antigen docking performance depends heavily on which energy function you use — REF2015 is not uniformly better than Talaris2014 for all docking scenarios.

Tobias Richter
Computational paratope-epitope interface mapping visualization

CDR Design

Computational Paratope-Epitope Mapping Without Experimental HDX or Cryo-EM

HDX and cryo-EM give definitive epitope maps — at significant cost and time. We describe how contact residue prediction provides actionable paratope-epitope maps for earlier design decisions.

Anya Petrova
Antibody humanization sequence grafting visualization

CDR Design

Antibody Humanization: Computational Strategies for Immunogenicity Reduction

Grafting murine CDRs onto human frameworks while maintaining affinity is one of the oldest problems in therapeutic antibody engineering. We review computational scoring approaches.

Dr. Elena Voss
Distribution visualization of CDR H3 and L3 loop lengths in therapeutic antibodies

Affinity Prediction

CDR L3 and H3 Loop Length Diversity in Approved Therapeutic Antibodies

Analysis of 150 FDA-approved therapeutic antibodies from Thera-SAbDab reveals strong biases in CDR L3 (peak at 9 residues) and H3 (distribution 10-16 residues) lengths.

Anya Petrova
Benchmark evaluation of antibody structure prediction methods on SAbDab dataset

Methods

Benchmarking Antibody Structure Prediction Models on SAbDab: 2025 Update

We benchmarked five antibody-specific structure prediction methods on a 200-structure holdout from SAbDab. Results and evaluation code are released openly.

Marcus Chen