This study in Experimental & Molecular Medicine investigates NGS-enabled phage display analysis. The authors show that sequencing-based screening identifies a broader and more diverse set of functional antibody clones than conventional colony screening methods.
Technical Resources
A selection of technical resources.
Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV
In Nature Machine Intelligence, researchers present a framework for antibody and VHH nativeness. AbNatiV enables nativeness scoring and humanization guidance, supporting hit selection while retaining binding and stability, including an automated nanobody humanization pipeline.
Prediction of Antibody-Antigen Binding via Machine Learning: Development of Data Sets and Evaluation of Methods
Published on ScienceDirect, this paper analyses machine-learning approaches to antibody–antigen binding. It evaluates datasets and early ML methods for predicting antibody specificity directly from sequence, outlining key limitations and opportunities for scalable, sequence-based binding prediction.
IgBlend: Unifying 3D Structures and Sequences in Antibody Language Models
A recent bioRxiv preprint examines structure-aware antibody language models. IgBlend combines antibody sequences with 3D structural coordinates, improving sequence recovery, CDR editing and inverse folding, with model likelihoods correlating with experimental binding affinity.
Accurate prediction of antibody function and structure using bio-inspired antibody language model
External research in Briefings in Bioinformatics explores antibody language models. This study introduces BALM and BALMFold, showing how large-scale antibody sequence models enable accurate antigen-binding and full atomic structure prediction, outperforming established structure-prediction methods.
By-passing in vitro screening—next generation sequencing technologies applied to antibody display and in silico candidate selection
Read about bypassing classical in vitro antibody screening in Nucleic Acids Research. This study shows how combining display technologies with next-generation sequencing enables in silico candidate selection, revealing high-affinity antibodies missed by conventional screening workflows.
From monoclonals to bi-specifics: Harnessing the transformative power of VHHs to supercharge IgG therapeutics
We explain how VHHs – small format single-domain antibody fragments – have a range of unique properties that make them ideal for enhancing the therapeutic potential of conventional IgG antibodies.
VHH Humanisation
VHH humanisation can be a challenge. Here, we compare two methods – safe-but-slow rational humanisation and fast-but-risky CDR grafting. We also explore the impact of synthetic versus immune-derived frameworks.
Small and mighty – VHH ‘bolt-ons’ to expand therapeutic functionality
Small antibody building blocks: VHHs or “Nanobodies” are single domain antibodies about 1/10th the size of an IgG. Combined with their robust biophysical properties and high solubiltiy, the simplicity of these molecules…
The golden age of bi-specific antibodies is here
Bi-specific antibodies (BsAbs) – antibodies that can recognise two different epitopes on either the same or different antigens – have been around for a long time. However, in the past few years we’ve seen a renaissance in the design and application of these molecules.
On the Origin of VHHs: Student serendipity and coincidental camels
We explain how VHHs – small format single-domain antibody fragments – have a range of unique properties that make them ideal for enhancing the therapeutic potential of conventional IgG antibodies.
CIS display, a DNA-based in vitro selection technology for therapeutic peptides
CIS display is a DNA-based in vitro display technology that enables the display and selection of peptides and proteins from extremely large libraries…
