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40 results about "Molecular mimicry" patented technology

Molecular mimicry is defined as the theoretical possibility that sequence similarities between foreign and self-peptides are sufficient to result in the cross-activation of autoreactive T or B cells by pathogen-derived peptides. Despite the prevalence of several peptide sequences which can be both foreign and self in nature, a single antibody or TCR (T cell receptor) can be activated by just a few crucial residues which stresses the importance of structural homology in the theory of molecular mimicry. Upon the activation of B or T cells, it is believed that these "peptide mimic" specific T or B cells can cross-react with self-epitopes, thus leading to tissue pathology (autoimmunity). Molecular mimicry is a phenomenon that has been just recently discovered as one of several ways in which autoimmunity can be evoked. A molecular mimicking event is, however, more than an epiphenomenon despite its low statistical probability of occurring and these events have serious implications in the onset of many human autoimmune disorders.

Nano antibody-based deoxynivalenol mimic antigen and application thereof

The invention belongs to the biotechnical field and relates to nano antibody-based deoxynivalenol mimic antigen and application thereof. The amino acid sequence is shown in SEQIDNO:1. The invention further relates to nucleotide which codes the amino acid. The nano antibody-based deoxynivalenol mimic antigen provided by the invention can be used for replacing a DON (deoxynivalenol) standard substance which is high in price and strong in toxicity and is used as competitive antigen or solid phase coated antigen which is applied to immunological detection of DON. The mimic antigen has an immunoreaction characteristic which is similar to that of a natural DON molecule and is good in effect. Compared with conventional polypeptide-based antigen mimic epitopes and IgG-based conventional anti-idiotype antibody, VHH has the characteristics of being more stable in structure, resistant to acid and base and high temperature, high in detection sensitivity and the like. Therefore, the immunodetection stability is extremely enhanced, and meanwhile, the endurance capacity on the environment is further enhanced.
Owner:NANCHANG UNIV

Enrofloxacin-mimic antigen epitope peptide, and preparation method and application thereof

The invention provides an enrofloxacin-mimic antigen epitope peptide, and preparation methods and an application thereof. The ENR-mimic antigen epitope peptide having a sequence represented by GKPYITWis panned from a phage random display heptapeptide library through a phage display peptide library technology with an anti-ENR monoclonal antibody as a target. The invention respectively provides a method for preparing the antigen-mimic epitope by a phage amplification technology and a method for preparing the antigen-mimic epitope by a gene recombination technology. A concrete detection method is designed based on enzyme linked immunosorbent assay, colloidal gold immunochromatography and fluorescence microsphere immunochromatography by using the immunological binding property of the antigen-mimic epitope. The antigen-mimic epitope has similar immunoreactivity characteristics to natural ENR molecules, can be used in the immunological detection of ENR to replace an ENR standard substance having strong drug resistance and high price, and the detection result is accurate and highly-sensitive.
Owner:INST OF MICROBIOLOGY JIANGXI ACADEMY OF SCI

Drug virtual screening method and device based on molecular similarity and semi-supervised learning

The invention discloses a drug virtual screening method and device based on molecular similarity and semi-supervised learning. The method comprises the following steps: S1, collecting a data set to obtain a ligand molecule sample with a biological activity value and a ligand molecule sample without a biological activity value; s2, constructing a regression model by using the ligand molecule sample with the biological activity value obtained in the step S1; s3, calculating the similarity between molecules in the data set; s4, calculating triple loss by utilizing the molecular similarity obtained in the step S3 and the regression model obtained in the step S2; and S5, training the model according to the loss functions obtained in the steps S2 and S4. On the basis of a semi-supervised learning method, a large number of samples without experimental biological activity values are introduced into model training, model prediction values of the samples without the experimental biological activity values are constrained by using molecular similarity and triple loss, and the problem that a large number of samples without the biological activity values cannot effectively participate in model training in an actual application scene is solved.
Owner:NANJING UNIV OF POSTS & TELECOMM

GPU parallel computing molecular similarity method, device and system and medium

The invention discloses a GPU (Graphics Processing Unit) parallel computing molecular similarity method, device and system and a medium. The method comprises the following steps of: inputting a query compound; calculating the center of mass of the query compound; translating and / or rotating the query compound based on the center of mass; parallel computing is carried out through a GPU, and query compounds before and after transformation serve as initial search points to be compared with molecular compounds in a molecular library; and filtering according to a comparison calculation result, and outputting a molecular compound similar to the query compound.
Owner:深圳北鲲云计算有限公司
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