Results 31 to 40 of about 19,745 (243)
Antibody Representation Learning for Drug Discovery [PDF]
arXiv, 2022 Therapeutic antibody development has become an increasingly popular approach for drug development. To date, antibody therapeutics are largely developed using large scale experimental screens of antibody libraries containing hundreds of millions of antibody sequences.
arxiv
ASAP-SML: An Antibody Sequence Analysis Pipeline Using Statistical Testing and Machine Learning [PDF]
, 2020 Antibodies are capable of potently and specifically binding individual antigens and, in some cases, disrupting their functions. The key challenge in generating antibody-based inhibitors is the lack of fundamental information relating sequences of antibodies to their unique properties as inhibitors.
arxiv +1 more source
Current landscape and future directions of bispecific antibodies in cancer immunotherapy
Frontiers in Immunology, 2022 Recent advances in cancer immunotherapy using monoclonal antibodies have dramatically revolutionized the therapeutic strategy against advanced malignancies, inspiring the exploration of various types of therapeutic antibodies.
Jing Wei +3 more
doaj +1 more source
Anti-platelet factor 4/polyanion antibodies mediate a new mechanism of autoimmunity [PDF]
, 2020 Antibodies recognizing complexes of the chemokine platelet factor 4 (PF4-CXCL4) and polyanions (P) opsonize PF4-coated bacteria hereby mediating bacterial host defense. A subset of these antibodies may activate platelets after binding to PF4-heparin complexes, causing the prothrombotic adverse drug reaction heparin-induced thrombocytopenia (HIT).
arxiv +1 more source
Producing and prospects for the use of bispecific antibodies for the treatment of cancer
Успехи молекулярной онкологии, 2019 Bispecific antibody molecules contain two different antigen-binding centers. Particular interest in bispecific antibodies is due to their therapeutic application.
S. E. Sedykh, G. A. Nevinsky
doaj +1 more source
Improving antibody language models with native pairing [PDF]
arXiv, 2023 Current antibody language models are limited by their use of unpaired antibody sequence data and the biases in publicly available antibody sequence datasets, which are skewed toward antibodies against a relatively small number of pathogens. A recently published dataset (by Jaffe, et al) of approximately 1.6 x 10^6 natively paired human antibody ...
arxiv
When Two are Better than One: Modeling the Mechanisms of Antibody Mixtures [PDF]
, 2019 It is difficult to predict how antibodies will behave when mixed together, even after each has been independently characterized. Here, we present a statistical mechanical model for the activity of antibody mixtures that accounts for whether pairs of antibodies bind to distinct or overlapping epitopes.
arxiv +1 more source
AntiBARTy Diffusion for Property Guided Antibody Design [PDF]
arXiv, 2023 Over the past decade, antibodies have steadily grown in therapeutic importance thanks to their high specificity and low risk of adverse effects compared to other drug modalities. While traditional antibody discovery is primarily wet lab driven, the rapid improvement of ML-based generative modeling has made in-silico approaches an increasingly viable ...
arxiv
Nature Communications, 2020 Bispecific antibodies have been generated in many different formats and it is becoming clear that rational design alone cannot create optimal functionalities.
Stefan Dengl +12 more
doaj +1 more source
Bispecific antibodies in cancer immunotherapy [PDF]
Current Opinion in Biotechnology, 2020 Among antibody-based cancer therapies, bispecific antibodies (biAbs) have gained momentum in preclinical and clinical investigations following the regulatory approvals of the trailblazing T-cell engaging biAb (T-biAb) blinatumomab. Discussed herein are recent strategies that aim at boosting the potency and mitigating the toxicity of T-biAbs, broadening
openaire +3 more sources