ENPICOM to integrate renowned structural antibody prediction tools developed at the University of Oxford
ENPICOM, an innovative bioinformatics software engineering company, has announced it will expand the IGX Platform’s capabilities towards advanced liability prediction. At the Antibody Engineering and Therapeutics virtual conference, the company revealed its plans to integrate the Structural Antibody Prediction Platform (SAbPred) developed by researchers at the University of Oxford.
“SAbPred is a widely recognized and validated tool developed by experts in molecular biology. While our team harbours a lot of knowledge in bioinformatics and software engineering, we believe this powerful combination brings the best of the two worlds. We are elevating our current platform capabilities and deliver an exceptional experience to antibody and vaccine developers looking for a more rapid, efficient, and reliable antibody discovery solution,” said Jos Lunenberg, co-founder and CEO at ENPICOM.
“We’re very excited to see Oxford Protein Informatics Group’s SabPred tools incorporated into ENPICOM’s IGX Platform. This collaboration will open the door for new users to apply our software to the structural analysis of antibodies,” said Fergus Boyles, Research Software Engineer at University of Oxford.
Enabling structural liability analysis at scale
Oxford researchers have developed SAbPred to perform various predictions of antibody properties that can support the discovery process and antibody design. The software helps study antibody properties and generate valuable information for developability potential of antibody candidates. SAbPred is currently used by leading biopharmaceutical companies to improve the design of antibody-based therapeutics.
By integrating SAbPred tools into the IGX Platform, ENPICOM allows scientists to apply the sophisticated algorithms to analyse high-throughput sequencing data inside the scalable and intuitive environment. This integration unlocks new antibody discovery workflows like performing structural analysis of proteins of interest and annotating important liability characteristics to select antibody candidates with good developability properties.
- For more information, visit: ENPICOM.com