This startup provides in silico solutions for antibody safety and development, specializing in epitope mapping and off-target prediction. They offer predictive modeling services to identify binding sites and potential adverse effects of monoclonal antibodies (mAbs) during preclinical stages, leveraging computational biology in drug development.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional preclinical antibody development relies on time-consuming and costly tissue cross-reactivity screens, often delaying the identification of potential off-target effects and hindering efficient drug development. Accurately predicting antibody-antigen interactions and potential adverse effects early in the development process remains a significant challenge.
Solution
Actimo Labs offers CRO 2.0, an AI-driven platform that provides in silico solutions for enhancing antibody safety and accelerating preclinical development. The platform leverages sequence and structure data to annotate antibodies, map binding sites on both the antibody and the antigen, and conduct similarity tests to rank the affinity of binding sites. Actimo Labs' predictive modeling services identify epitopes on the antigen and predict off-target sites, enabling clients to gain early insights into their monoclonal antibodies (mAbs) and reduce the risk of adverse side effects. By providing comprehensive antibody-antigen affinity reports, Actimo Labs helps strengthen intellectual property and improve drug safety profiles.
Target Audience
Actimo Labs primarily serves biotech companies, clinical researchers, and computational biologists involved in preclinical antibody development and seeking to accelerate their drug discovery process while improving safety profiles.
Features
- AI-driven in silico modeling for antibody-antigen interaction analysis
- Epitope mapping to identify paratopes on monoclonal antibodies (mAbs)
- Off-target prediction to reduce the risk of adverse side effects
- Comprehensive antibody-antigen affinity reports
- Secure cloud hosting with encryption-grade security practices
- User-owned data and IP with isolated computations