Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Andrejs Tucs"'
Autor:
Andrejs Tučs, Tomoyuki Ito, Yoichi Kurumida, Sakiya Kawada, Hikaru Nakazawa, Yutaka Saito, Mitsuo Umetsu, Koji Tsuda
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract In designing functional biological sequences with machine learning, the activity predictor tends to be inaccurate due to shortage of data. Top ranked sequences are thus unlikely to contain effective ones. This paper proposes to take predicti
Externí odkaz:
https://doaj.org/article/0d7e74484286481ca47596de9fb39a2c
Autor:
Jessica E. Besaw, Jörg Reichenwallner, Paolo De Guzman, Andrejs Tucs, Anling Kuo, Takefumi Morizumi, Koji Tsuda, Adnan Sljoka, R. J. Dwayne Miller, Oliver P. Ernst
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Within the microbial rhodopsin family, heliorhodopsins (HeRs) form a phylogenetically distinct group of light-harvesting retinal proteins with largely unknown functions. We have determined the 1.97 Å resolution X-ray crystal structure of Th
Externí odkaz:
https://doaj.org/article/699e564600764ed9b8944a7e60ca6556
Publikováno v:
ACS Omega, Vol 5, Iss 36, Pp 22847-22851 (2020)
Externí odkaz:
https://doaj.org/article/cbca35e7d69d4fdbbaefd8685b8ea1c3
Autor:
Nitesh Kumawat, Andrejs Tucs, Soumen Bera, Gennady N. Chuev, Marat Valiev, Marina V. Fedotova, Sergey E. Kruchinin, Koji Tsuda, Adnan Sljoka, Amit Chakraborty
Publikováno v:
Molecules, Vol 27, Iss 3, p 799 (2022)
The entry of the SARS-CoV-2, a causative agent of COVID-19, into human host cells is mediated by the SARS-CoV-2 spike (S) glycoprotein, which critically depends on the formation of complexes involving the spike protein receptor-binding domain (RBD) a
Externí odkaz:
https://doaj.org/article/22c9b9a67b81432693bbf3a1a2b30319
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2552
This chapter describes the application of constrained geometric simulations for prediction of antibody structural dynamics. We utilize constrained geometric simulations method FRODAN, which is a low computational complexity alternative to molecular d
Publikováno v:
Computer-Aided Antibody Design ISBN: 9781071626085
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dfc085991a1cd1b23a010c89d6f4940
https://doi.org/10.1007/978-1-0716-2609-2_6
https://doi.org/10.1007/978-1-0716-2609-2_6
Publikováno v:
ACS Omega
ACS Omega, Vol 5, Iss 36, Pp 22847-22851 (2020)
ACS Omega, Vol 5, Iss 36, Pp 22847-22851 (2020)
Antimicrobial peptides are a potential solution to the threat of multidrug-resistant bacterial pathogens. Recently, deep generative models including generative adversarial networks (GANs) have been shown to be capable of designing new antimicrobial p
Autor:
Gennady N. Chuev, Marina V. Fedotova, Kumawat N, Andrejs Tucs, Chakraborty A, Koji Tsuda, Adnan Sljoka, Bera S, Sergey E. Kruchinin
A new coronavirus pandemic COVID-19, caused by Severe Acute Respiratory Syndrome coronavirus (SARS-CoV-2), poses a serious threat across continents, leading the World Health Organization to declare a Public Health Emergency of International Concern.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01744d28f81759930e02cc1782115b1b
https://doi.org/10.1101/2021.04.22.441041
https://doi.org/10.1101/2021.04.22.441041