The rapid advancement of AI technology and in-silico modelling of biologics are opening up new ways to design and discover biologics.

It is now entirely possible to design completely new de novo biologics on the computer or to have massive virtual screening campaigns to discover lead molecules much faster than what is possible in the lab.

At SilicoGenesis, the process of design, discovery and optimization of biologics starts in silico. Once lead molecules are identified, these molecules are then tested in the lab to verify their efficacy and properties.

We characterise the structure of general proteins, antibodies, nanobodies and other biologics to identify protein-protein interaction sites, paratopes and epitopes. When necessary, we predict the 3D structure of proteins and antibodies from their sequence.

Structure Prediction

Biophysical characterisation

PPI site prediction

Epitope Prediction

Paratope Prediction

CDR numbering

We find potential binders for your target through structure-based virtual screening experiments. Alternatively, we generate de novo candidates using generative machine learning models.

De novo binder design

De novo binder design

Structure-based screening

We optimise binders towards a desired affinity goal or species cross-reactivity threshold. These affinity-optimised binders can be validated for expression and functionality validations.

Saturation mutagenesis

Alanine scanning

Cross species reactivity

Improve affinity

Reduce affinity

When antibodies have been sourced from non-human animal models, we perform humanisation and assess the “humanness” score of your antibody sequences without negatively altering their binding properties.

CDR grafting

Germline reversion

Humanised structure prediction

Humanness scoring

We prepare optimised binders for preclinical testing by critically assessing their structural properties and through mitigating sequence liabilities or developability issues.

Glycosylation

Phosphorylation

Ubiquitination

Other PTMs

Aggregation hotspots

Colloidal stability