Directed evolution: methodologies and applications
Directed evolution aims to expedite the natural evolution process of biological molecules
and systems in a test tube through iterative rounds of gene diversifications and library …
and systems in a test tube through iterative rounds of gene diversifications and library …
Antibody display technologies: selecting the cream of the crop
B Valldorf, SC Hinz, G Russo, L Pekar, L Mohr… - Biological …, 2022 - degruyter.com
Antibody display technologies enable the successful isolation of antigen-specific antibodies
with therapeutic potential. The key feature that facilitates the selection of an antibody with …
with therapeutic potential. The key feature that facilitates the selection of an antibody with …
Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning
The optimization of therapeutic antibodies is time-intensive and resource-demanding,
largely because of the low-throughput screening of full-length antibodies (approximately 1× …
largely because of the low-throughput screening of full-length antibodies (approximately 1× …
Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain
The continual evolution of SARS-CoV-2 and the emergence of variants that show resistance
to vaccines and neutralizing antibodies threaten to prolong the COVID-19 pandemic …
to vaccines and neutralizing antibodies threaten to prolong the COVID-19 pandemic …
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Generative machine learning (ML) has been postulated to become a major driver in the
computational design of antigen-specific monoclonal antibodies (mAb). However, efforts to …
computational design of antigen-specific monoclonal antibodies (mAb). However, efforts to …
MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect
Multiplex assays of variant effect (MAVEs), such as deep mutational scans and massively
parallel reporter assays, test thousands of sequence variants in a single experiment. Despite …
parallel reporter assays, test thousands of sequence variants in a single experiment. Despite …
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding
Antibody-antigen binding relies on the specific interaction of amino acids at the paratope-
epitope interface. The predictability of antibody-antigen binding is a prerequisite for de novo …
epitope interface. The predictability of antibody-antigen binding is a prerequisite for de novo …
High-throughput T cell receptor engineering by functional screening identifies candidates with enhanced potency and specificity
R Vazquez-Lombardi, JS Jung, FS Schlatter, A Mei… - Immunity, 2022 - cell.com
A major challenge in adoptive T cell immunotherapy is the discovery of natural T cell
receptors (TCRs) with high activity and specificity to tumor antigens. Engineering synthetic …
receptors (TCRs) with high activity and specificity to tumor antigens. Engineering synthetic …
Deep mutational scanning for therapeutic antibody engineering
The biophysical and functional properties of monoclonal antibody (mAb) drug candidates
are often improved by protein engineering methods to increase the probability of clinical …
are often improved by protein engineering methods to increase the probability of clinical …
immuneSIM: tunable multi-feature simulation of B-and T-cell receptor repertoires for immunoinformatics benchmarking
B-and T-cell receptor repertoires of the adaptive immune system have become a key target
for diagnostics and therapeutics research. Consequently, there is a rapidly growing number …
for diagnostics and therapeutics research. Consequently, there is a rapidly growing number …