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هفتمین همایش بیو انفورماتیک ایران
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Stability and affinity analysis of commercial anti-TNF-a antibodies: in-silico study |
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| چکیده انگلیسی مقاله |
Computational methods are universally established as important tools for the invention of biotherapeutic drugs, helping with tasks such as optimizing affinity for a target, minimizing off-target effects and optimizing pharmacokinetic properties [1].In these contexts, the stepwise in silico methods are generally not considered substitutes for empirical testing, but rather a way to generate testable hypotheses, helping to interpret and guide experiments [2]. In the recent study, we aimed to analysis of anti-TNF-α antibodies [3] to find difference in the properties of the antibodies and find out more insight to engineering of them for further in-silico and in vitro studies. For achieving the aim, we found 3D structure of adalimumab, infliximab and certulizumab. In addition, structures of golimumab were modeled by Moodeler.9 Package. Following, all structures were docked with TNF-alpha and binding pocket of the complexes were analyzed by ligplot. Stability of the antibodies was assessed by molecular dynamic simulation with Gromacs.5 package. Our data revealed the complex of antibodies and TNF-α have significantly difference in their RMSD and stability during 15 ns. Also, the antibodies revealed different binding pocket to interaction by the antigen result in difference hydrogen bonds, electrostatic and van der waal energy. In addition, the various energies at binding pocket lead to modify binding and affinity of each antibody to TNF-α. The dissimilarity in the properties of the antibodies, play key role to their efficacy of the drugs in clinical studies. In conclusion, computational methods are effective strategies to analysis structures, dynamic and properties of antibodies. Additionally, the prediction methods are potential to determine characterization of antibodies and definite if the features required to further optimization by in-silico and experimental studies. |
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| کلیدواژه‌های انگلیسی مقاله |
TNF-a, antibody, in-silico, stability, affinity |
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| نویسندگان مقاله |
M Tabasinezhad - Biotechnology Research Center, Pasteur Institute of Iran,Tehran
H Rahimi - Molecular Medicine Department, Pasteur Institute of Iran, Tehran
H Ghaedi - Shahid Beheshti University of Medical Sciences,Tehran
E Omidinia - Genetics & Metabolism Research Center, Pasteur Institute of Iran,Tehran,
F Mahboudi - Biotechnology Research Center, Pasteur Institute of Iran,Tehran
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| نشانی اینترنتی |
http://www.icb7.ir |
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| زبان مقاله منتشر شده |
en |
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