Computational approach to design of aptamers to the receptor binding domain of SARS-CoV-2
Artyushenko, P. V., Mironov, V. A., Morozov, D. I., Shchugoreva, I. A., Borbone, N., Tomilin, F. N., & Kichkailo, A. S. (2021). Computational approach to design of aptamers to the receptor binding domain of SARS-CoV-2. Sibirskoe Medicinskoe Obozrenie, 2021(2), 66-67. https://doi.org/10.20333/2500136-2021-2-66-67
Julkaistu sarjassa
Sibirskoe Medicinskoe ObozrenieTekijät
Päivämäärä
2021Tekijänoikeudet
© ARTYUSHENKO P. V., MIRONOV V. A., MOROZOV D. I., SHCHUGOREVA I. A., BORBONE N., TOMILIN F. N., KICHKAILO A. S.
The aim of the research. In this work, in silico selection of DNA-aptamers to the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein was performed using molecular modeling methods.
Material and methods. A new computational approach to aptamer in silico selection is based on a cycle of simulations, including the stages of molecular modeling, molecular docking, molecular dynamic simulations, and quantum chemical calculations. To verify the obtained calculated results flow cytometry, fluorescence polarization, and small-angle X-ray scattering methods were applied.
Results. An initial library consisted of 256 16-mer oligonucleotides was modeled. Based on molecular docking results, the only one aptamer (Apt16) was selected from the library as a starting aptamer to the RBD protein. For Apt16/RBD complex, molecular dynamic and quantum chemical calculations revealed the pairs of nucleotides and amino acids whose contribution to the binding between aptamer and RBD is the largest. Taking into account these data, Apt16 was subjected to the structure modifications in order to increase the binding with the RBD. Thus, a new aptamer Apt25 was designed. The procedure of 1) aptamer structure modeling/modification, 2) molecular docking, 3) molecular dynamic simulations, 4) quantum chemical calculations was performed sev-eral times. As a result, four aptamers (Apt16, Apt25, Apt27, Apt31) to the RBD were designed in silico without any preliminary experimental data. Binding of the each modeled aptamer to the RBD was studied in terms of interactions between residues in protein and nucleotides in the aptamers. Based on the simulation results, the strongest binding with the RBD was predicted for two Apt27 and Apt31aptamers. The calculated results are in good agreement with experimental data obtained by flow cytometry, fluorescence polarization, and small-angle X-ray scattering methods.
Conclusion. The proposed computational approach to selection and refinement of aptamers is universal and can be used for wide range of molecular ligands and targets.
...
Julkaisija
Krasnoyarsk State Medical UniversityISSN Hae Julkaisufoorumista
1819-9496Asiasanat
Alkuperäislähde
https://smr.krasgmu.ru/journal/2089_10_artyushenko.pdfJulkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/98897858
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Structure- and Interaction-Based Design of Anti-SARS-CoV-2 Aptamers
Mironov, Vladimir; Shchugoreva, Irina A.; Artyushenko, Polina V.; Morozov, Dmitry; Borbone, Nicola; Oliviero, Giorgia; Zamay, Tatiana N.; Moryachkov, Roman V.; Kolovskaya, Olga S.; Lukyanenko, Kirill A.; Song, Yangling; Merkuleva, Iuliia A.; Zabluda, Vladimir N.; Peters, Georgy; Koroleva, Lyudmila S.; Veprintsev, Dmitry V.; Glazyrin, Yury E.; Volosnikova, Ekaterina A.; Belenkaya, Svetlana V.; Esina, Tatiana I.; Isaeva, Anastasiya A.; Nesmeyanova, Valentina S.; Shanshin, Daniil V.; Berlina, Anna N.; Komova, Nadezhda S.; Svetlichnyi, Valery A.; Silnikov, Vladimir N.; Shcherbakov, Dmitriy N.; Zamay, Galina S.; Zamay, Sergey S.; Smolyarova, Tatyana; Tikhonova, Elena P.; Chen, Kelvin H.-C.; Jeng, U-Ser; Condorelli, Gerolama; de Franciscis, Vittorio; Groenhof, Gerrit; Yang, Chaoyong; Moskovsky, Alexander A.; Fedorov, Dmitri G.; Tomilin, Felix N.; Tan, Weihong; Alexeev, Yuri; Berezovski, Maxim V.; Kichkailo, Anna S. (Wiley-VCH Verlag, 2022)Aptamer selection against novel infections is a complicated and time-consuming approach. Synergy can be achieved by using computational methods together with experimental procedures. This study aims to develop a reliable ... -
The brain insulin receptor gene network and associations with frailty index
Selenius, Jannica S.; Silveira, Patricia P.; Haapanen, Markus J.; von Bonsdorff, Mikaela; Lahti, Jari; Eriksson, Johan G.; Wasenius, Niko S. (Oxford University Press, 2024)Objective: To investigate longitudinal associations between variations in the co-expression-based brain insulin receptor polygenic risk score and frailty, as well as change in frailty across follow-up. Methods: This ... -
Unraveling viral drug targets : a deep learning-based approach for the identification of potential binding sites
Popov, Petr; Kalinin, Roman; Buslaev, Pavel; Kozlovskii, Igor; Zaretckii, Mark; Karlov, Dmitry; Gabibov, Alexander; Stepanov, Alexey (Oxford University Press (OUP), 2024)The coronavirus disease 2019 (COVID-19) pandemic has spurred a wide range of approaches to control and combat the disease. However, selecting an effective antiviral drug target remains a time-consuming challenge. Computational ... -
Dynamics of the ligand-binding domains of ionotropic glutamate receptors
Postila, Pekka (University of Jyväskylä, 2010) -
Rational Design of Targeted Gold Nanoclusters with High Affinity to Integrin αvβ3 for Combination Cancer Therapy
Matus, María Francisca; Häkkinen, Hannu (American Chemical Society (ACS), 2024)The unique attributes of targeted nano-drug delivery systems (TNDDSs) over conventional cancer therapies in suppressing off-target effects make them one of the most promising options for cancer treatment. There is evidence ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.