Výsledky vyhledávání - "Tianbiao Yang"

Akademický článek

Sequence-based drug design as a concept in computational drug design

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-21 (2023)

Abstract Drug development based on target proteins has been a successful approach in recent decades. However, the conventional structure-based drug design (SBDD) pipeline is a complex, human-engineered process with multiple independently optimized st

Externí odkaz: https://doaj.org/article/c4c90579e2754437ac6717ad301ee041

Zobrazit plný text záznamu

Akademický článek

Design, synthesis and biological evaluation of pyrazolo[3,4-d]pyridazinone derivatives as covalent FGFR inhibitors

Autor: Xiaowei Wu, Mengdi Dai, Rongrong Cui, Yulan Wang, Chunpu Li, Xia Peng, Jihui Zhao, Bao Wang, Yang Dai, Dan Feng, Tianbiao Yang, Hualiang Jiang, Meiyu Geng, Jing Ai, Mingyue Zheng, Hong Liu

Publikováno v: Acta Pharmaceutica Sinica B, Vol 11, Iss 3, Pp 781-794 (2021)

Fibroblast growth factor receptors (FGFRs) have emerged as promising targets for anticancer therapy. In this study, we synthesized and evaluated the biological activity of 66 pyrazolo[3,4-d]pyridazinone derivatives. Kinase inhibition, cell proliferat

Externí odkaz: https://doaj.org/article/1ba935fbaca3438c82b23137c0971ab9

Zobrazit plný text záznamu

Discovery of Pyrazolo[3,4-d]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation

Autor: Xiaozhe Wan, Tingyang Xu, Tianbiao Yang, Xutong Li, Xiaochu Tong, Xiaoqin Tan, Lifan Chen, Sulin Zhang, Chunpu Li, Ruirui Yang, Rongrong Cui, Hong Liu, Fei Li, Liu Xiaohong, Mingyue Zheng, Hualiang Jiang, Sen Zhao

Publikováno v: Journal of Medicinal Chemistry. 65:103-119

Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cytokines, making DDR1 an attractive target for inflammatory bowel disease (IBD) therapy. A scaffold-based molecular design workflow was established and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::221a6b01ec0117e416ff69d1a5b2cb16
https://doi.org/10.1021/acs.jmedchem.1c01205

Zobrazit plný text záznamu

Drug target inference by mining transcriptional data using a novel graph convolutional network framework

Autor: Xiaolong Wu, Xiaomin Luo, Xiaozhe Wan, Tianbiao Yang, Xiaohong Liu, Feisheng Zhong, Yinghui Zhang, Kaixian Chen, Sulin Zhang, Dingyan Wang, Xutong Li, Ruirui Yang, Zunyun Fu, Zisheng Fan, Mingyue Zheng, Hualiang Jiang

Publikováno v: Protein & Cell

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c56e8b3ce73d3350bed3c7fd92a28c
http://europepmc.org/articles/PMC8532448

Zobrazit plný text záznamu

Design, synthesis and biological evaluation of pyrazolo[3,4-d]pyridazinone derivatives as covalent FGFR inhibitors

Autor: Meng-di Dai, Xiaowei Wu, Rongrong Cui, Tianbiao Yang, Xia Peng, Meiyu Geng, Mingyue Zheng, Jihui Zhao, Jing Ai, Yulan Wang, Hualiang Jiang, Chunpu Li, Bao Wang, Hong Liu, Dan Feng, Yang Dai

Publikováno v: Acta Pharmaceutica Sinica B, Vol 11, Iss 3, Pp 781-794 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbea6a5d0b4c9946de3ed360ddc33931
http://www.sciencedirect.com/science/article/pii/S2211383520307024

Zobrazit plný text záznamu

Prediction of serious eye damage or eye irritation potential of compounds via consensus labelling models and active learning models based on uncertainty strategies

Autor: Peiwen Di, Mingyue Zheng, Tianbiao Yang, Geng Chen, Jianan Ren, Xutong Li, Hualiang Jiang

Publikováno v: Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association. 169

Serious eye damage and eye irritation have been authenticated to be significant human health issues in various fields such as ophthalmic pharmaceuticals. Due to the shortcomings of traditional animal testing methods, in silico methods have advanced t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24dd41ef4c1b863b3844d38b6c6660b5
https://pubmed.ncbi.nlm.nih.gov/36108981

Zobrazit plný text záznamu

Drug design and repurposing with a sequence-to-drug paradigm

Autor: Lifan Chen, Zisheng Fan, Jie Chang, Ruirui Yang, Hao Guo, Yinghui Zhang, Tianbiao Yang, Chenmao Zhou, Zhengyang Chen, Chen Zheng, Xinyue Hao, Keke Zhang, Rongrong Cui, Yiluan Ding, Naixia Zhang, Xiaomin Luo, Hualiang Jiang, Sulin Zhang, Mingyue Zheng

Drug development based on target proteins has been a successful approach in recent decades. A conventional structure-based drug design pipeline is a complex, human-engineered pipeline with multiple independently optimized steps. Advances in end-to-en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cd7e30f471740aa45f71c31cde35ca6
https://doi.org/10.1101/2022.03.26.485909

Zobrazit plný text záznamu

DrugSpaceX: a large screenable and synthetically tractable database extending drug space

Autor: Guangchao Wang, Tianbiao Yang, Yingjia Chen, Zhaojun Li, Jihui Zhao, Xiaomin Luo, Zunyun Fu, Xiaoqin Tan, Mingyue Zheng, Hualiang Jiang, Dan Feng, Kaixian Chen, Xiaoyu Ding

Publikováno v: Nucleic Acids Research

One of the most prominent topics in drug discovery is efficient exploration of the vast drug-like chemical space to find synthesizable and novel chemical structures with desired biological properties. To address this challenge, we created the DrugSpa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2da763296aad8e8a4004f8ecea8a913
https://doi.org/10.1093/nar/gkaa920

Zobrazit plný text záznamu

TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

Autor: Dingyan Wang, Xiaohong Liu, Kaixian Chen, Feisheng Zhong, Xiaomin Luo, Mingyue Zheng, Hualiang Jiang, Xiaoqin Tan, Lifan Chen, Tianbiao Yang

Publikováno v: Bioinformatics. 36:4406-4414

Motivation Identifying compound–protein interaction (CPI) is a crucial task in drug discovery and chemogenomics studies, and proteins without three-dimensional structure account for a large part of potential biological targets, which requires devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12b2875af9e179ab4284112dd74ca4c6
https://doi.org/10.1093/bioinformatics/btaa524

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání