Results 51 to 60 of about 1,442,988 (353)
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
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
Bispecific Antibodies: A Review of Development, Clinical Efficacy and Toxicity in B-Cell Lymphomas
Journal of Personalized Medicine, 2021 The treatment landscape of B-cell lymphomas is evolving with the advent of novel agents including immune and cellular therapies. Bispecific antibodies (bsAbs) are molecules that recognise two different antigens and are used to engage effector cells, such
Ross T. Salvaris, Jeremy Ong, G. Gregory
semanticscholar +1 more source
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
The state of the art of bispecific antibodies for treating human malignancies
EMBO Molecular Medicine, 2021 Bispecific antibodies (bsAb) that target two independent epitopes or antigens have been extensively explored in translational and clinical studies since they were first developed in the 1960s. Many bsAbs are being tested in clinical trials for treating a
Shuhang Wang +18 more
semanticscholar +1 more source
Current trends and challenges in the downstream purification of bispecific antibodies
Antibody Therapeutics, 2021 Bispecific antibodies (bsAbs) represent a highly promising class of biotherapeutic modality. The downstream processing of this class of antibodies is therefore of crucial importance in ensuring that these products can be obtained with high purity and ...
Serene W. Chen, Wei Zhang
semanticscholar +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
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
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