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Wyświetlanie 1-3 z 3
Tytuł:
Rapid screening of monoclonal antibodies against porcine circovirus type 2 using colloidal gold-based paper test
Autorzy:
Jin, Q.Y.
Feng, L.L.
Wang, Y.B.
Li, P.
Yang, J.F.
Teng, M.
Chai, S.J.
Xing, G.X.
Zhang, G.P.
Powiązania:
https://bibliotekanauki.pl/articles/16539073.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
porcine circovirus type 2 (PCV2)
screening of MAbs
paper test
Opis:
A proof of concept for using paper test as a suitable method in the production of monoclonal antibodies (MAbs) is reported. The paper test which detects antibodies against porcine circovirus type 2 (PCV2) using colloidal gold-labelled capsid protein as the antigen probe was applied exclusively in the screening of anti-PCV2 MAbs. It allowed the detection of 118 single cell clones within 30 min using naked eyes. MAbs with specific binding to authentic epitopes on the virus were selected using a blocking strategy in which the antibody was pre-incubated with PCV2 viral sample before applying to the test paper. Five hybridomas secreting MAbs against the capsid protein were obtained, with only three of them capable of binding to PCV2. The results were validated and confirmed using enzyme-linked immunosorbent assay and immunofluorescence assay. The paper test is simple, rapid, and independent on professional technicians and proves to be an excellent approach for the screening of MAbs against specific targets.
Źródło:
Polish Journal of Veterinary Sciences; 2022, 25, 1; 27-34
1505-1773
Pojawia się w:
Polish Journal of Veterinary Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A generalized varying-domain optimization method for fuzzy goal programming with priorities based on a genetic algorithm
Autorzy:
Li, S. Y.
Hu, C. F.
Teng, C. J.
Powiązania:
https://bibliotekanauki.pl/articles/970454.pdf
Data publikacji:
2004
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
rozmyte programowanie celowe
priorytet
algorytm genetyczny
fuzzy goal programming
priorities
SQP
genetic algorithm
GENOCOP III
Opis:
This paper proposes a generalized domain optimization method for fuzzy goal programming with different priorities. According to the three possible styles of the objective function, the domain optimization method and its generalization are correspondingly proposed. This method can generate the results consistent with the decision-maker's priority expectations, according to which the goal with higher priority may have higher level of satisfaction. However, the reformulated optimization problem may be nonconvex for the reason of the nature of the original problem and the introduction of the varying-domain optimization method. It is possible to obtain a local optimal solution for nonconvex programming by the SQP algorithm. In order to get the global solution of the new programming problem, the co-evolutionary genetic algorithm, called GENOCOP III, is used instead of the SQP method. In this way the decision-maker can get. the optimum of the optimization problem. We demonstrate the power of this proposed method based on genetic algorithm by illustrative examples.
Źródło:
Control and Cybernetics; 2004, 33, 4; 633-652
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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