
Pfentech generate highly specific TCRs for immunotherapies
in under 2 hours - 700x faster than in the laboratory

Isaac Pfaender
Head of platform development, with Google DeepMind-funded research experience and multiple immune protein projects at Oxford University and UCL.

Prof. Benny Chain
Global leader in computational immunology with 40+ years of experience and a joint professorship in Immunology and Computer Science at UCL.

Bailey Costello
Head of operations, with a background in experimental physics, paired with extensive leadership experience through professional coaching.

TCR-T therapies have shown immense promise through clinical trials. But therapeutic discovery is slow, costly, and can result in potentially fatal consequences, when receptors bind to healthy tissue instead of the desired target.Backed by UCL 'Innovation and Enterprise', we’ve built our proprietary, machine learning powered platform that designs, optimises, and safety-screens T-cell receptors in just a few hours entirely in-silico - replacing the 3 months of laboratory trial and error required with traditional methods.Our rapid pipeline opens the door for world-first, completely bespoke treatments, not limited to just shared targets.
If you already have a TCR candidate, we can improve its affinity and reduce its cross reactivity for the highest risk off-targets.And if you have a pMHC you want to target, we can design a tailored de-novo solution in just a few hours.
See below for the latest Pfentech news

Pfentech’s platform ranked unseen TCR mutants by affinity - see how our in-silico predictions matched up with published in-vitro results.

When a TCR unexpectedly bound to Titin, a protein found in cardiac muscle, 2 people died. Could our software have predicted this, and potentially saved lives?

We’re thrilled to welcome
Professor Benny Chain to Pfentech!

We design high-affinity, specific TCRs in under 3 hours, entirely in-silico.
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