Zobrazeno 1 - 10
of 3 074
pro vyhledávání: '"de novo design"'
Autor:
Zhihong Wang, Zhuangzhuang Shi, Xiaochen Liao, Guiqi Quan, Hui Dong, Pinnan Zhao, Yangyihua Zhou, Ning Shi, Jie Wang, Yahui Wu, Chunxia Qiao, Xin ying Li, Ran Zhang, Zekun Wang, Tiecheng Wang, Xiang Gao, Jiannan Feng, Longlong Luo
Publikováno v:
Advanced Science, Vol 11, Iss 45, Pp n/a-n/a (2024)
Abstract SARS‐CoV‐2 Omicron sublineages escape most preclinical/clinical neutralizing antibodies in development, suggesting that previously employed antibody screening strategies are not well suited to counteract the rapid mutation of SARS‐CoV
Externí odkaz:
https://doaj.org/article/6957553d93bc4aa39f647dbb72e1b874
Autor:
Xue‐Fei Wang, Jing‐Ya Tang, Jing Sun, Sonam Dorje, Tian‐Qi Sun, Bo Peng, Xu‐Wo Ji, Zhe Li, Xian‐En Zhang, Dian‐Bing Wang
Publikováno v:
Advanced Science, Vol 11, Iss 43, Pp n/a-n/a (2024)
Abstract Antimicrobial peptides (AMPs) are a promising solution for treating antibiotic‐resistant pathogens. However, efficient generation of diverse AMPs without prior knowledge of peptide structures or sequence alignments remains a challenge. Her
Externí odkaz:
https://doaj.org/article/8a6d6ef8326b4847a21423a1db00c74d
Akademický článek
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Autor:
Zhou, Xiaohong 1, ∗, Zhu, Qian 1, Zheng, Anqi 2, Xue, Boyuan 1, Wang, Qihui 2, ∗, Chin, Lip Ket 3, ∗, Jiang, Jingkun 1, He, Miao 1
Publikováno v:
In hLife December 2024 2(12):641-652
Autor:
Harteveld, Zander 1, 2, 6, Van Hall-Beauvais, Alexandra 1, 2, 6, Morozova, Irina 1, Southern, Joshua 3, Goverde, Casper 1, 2, Georgeon, Sandrine 1, Rosset, Stéphane 1, Defferrard, Michëal 1, Loukas, Andreas 1, 5, Vandergheynst, Pierre 1, Bronstein, Michael M. 4, Correia, Bruno E. 1, 2, 7, ∗
Publikováno v:
In Cell Systems 16 October 2024 15(10):898-910
Autor:
Parsa Hesamzadeh, Abdolvahab Seif, Kazem Mahmoudzadeh, Mokhtar Ganjali Koli, Amrollah Mostafazadeh, Kosar Nayeri, Zohreh Mirjafary, Hamid Saeidian
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Antioxidant peptides (AOPs) are highly valued in food and pharmaceutical industries due to their significant role in human function. This study introduces a novel approach to identifying robust AOPs using a deep generative model based on seq
Externí odkaz:
https://doaj.org/article/546bdcb34f0743a2ae2c1ee1f0c7c2ec
Autor:
Sergei Evteev, Yan Ivanenkov, Ivan Semenov, Maxim Malkov, Olga Mazaleva, Artem Bodunov, Dmitry Bezrukov, Denis Sidorenko, Victor Terentiev, Alex Malyshev, Bogdan Zagribelnyy, Anastasia Korzhenevskaya, Alex Aliper, Alex Zhavoronkov
Publikováno v:
Frontiers in Chemistry, Vol 12 (2024)
Introduction: The significance of automated drug design using virtual generative models has steadily grown in recent years. While deep learning-driven solutions have received growing attention, only a few modern AI-assisted generative chemistry platf
Externí odkaz:
https://doaj.org/article/42a7eae0891b4f88a4c8d74b04c193b3
Autor:
Dakuo He, Qing Liu, Yan Mi, Qingqi Meng, Libin Xu, Chunyu Hou, Jinpeng Wang, Ning Li, Yang Liu, Huifang Chai, Yanqiu Yang, Jingyu Liu, Lihui Wang, Yue Hou
Publikováno v:
Advanced Science, Vol 11, Iss 11, Pp n/a-n/a (2024)
Abstract One of the main challenges in small molecule drug discovery is finding novel chemical compounds with desirable activity. Traditional drug development typically begins with target selection, but the correlation between targets and disease rem
Externí odkaz:
https://doaj.org/article/f23cd495a4d64053b925afe820b6cbea
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Diana L. Prado-Romero, Alejandro Gómez-García, Raziel Cedillo-González, Hassan Villegas-Quintero, Juan F. Avellaneda-Tamayo, Edgar López-López, Fernanda I. Saldívar-González, Ana L. Chávez-Hernández, José L. Medina-Franco
Publikováno v:
Frontiers in Drug Discovery, Vol 3 (2023)
The structure-activity relationships data available in public databases of inhibitors of DNA methyltransferases (DNMTs), families of epigenetic targets, plus the structural information of DNMT1, enables the development of a robust structure-based dru
Externí odkaz:
https://doaj.org/article/90d7767f95e34a71acfbb84a93692c68