Results 41 to 50 of about 6,877,966 (373)
Analysis of immune network dynamical system model with small number of degrees of freedom [PDF]
, 2000 We numerically study a dynamical system model of an idiotypic immune network with a small number of degrees of freedom. The model was originally introduced by Varela et.al., and describes antibodies interacting in a body in order to prepare for the invasion of external antigens. The main purpose of this paper is to investigate the direction of change
arxiv +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 Effectiveness of Vaccination in Sickly Children with Disorders of the Central Nervous System
Эпидемиология и вакцинопрофилактика, 2015 Data on the current vaccination process have in sickly children with disorders of the central nervous system, and grafted lifeless live vaccines against diphtheria, measles and mumps.The levele of intercurrent diseases in every group was 33,3%.
S. P. Kaplina +2 more
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
Dynamic Optimization for Monoclonal Antibody Production [PDF]
arXiv, 2023 This paper presents a dynamic optimization numerical case study for Monoclonal Antibody (mAb) production. The fermentation is conducted in a continuous perfusion reactor. We represent the existing model in terms of a general modeling methodology well-suited for simulation and optimization. The model consists of six ordinary differential equations (ODEs)
arxiv
Journal of Clinical Endocrinology and Metabolism, 2011 CONTEXT Therapeutic proteins/peptides can produce immunogenic responses that may increase the risk of adverse events or reduce efficacy. OBJECTIVE The objectives were to measure and characterize antibody formation to liraglutide, a glucagon-like ...
J. Buse +7 more
semanticscholar +1 more source
Immunological efficacy of Vaccination against Measles in Children with Down syndrome
Журнал инфектологии, 2014 The data of current vaccination process of cellular, humoral immunity and specific antibody formation in 41 children with Down syndrome at the age of 1 year to 6 years old is observed.
S. P. Kaplina +2 more
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
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
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