Zobrazeno 1 - 10
of 668
pro vyhledávání: '"geometric deep learning"'
Autor:
Pengpai Li, Zhi‐Ping Liu
Publikováno v:
Advanced Science, Vol 11, Iss 35, Pp n/a-n/a (2024)
Abstract Assessing changes in protein–protein binding affinity due to mutations helps understanding a wide range of crucial biological processes within cells. Despite significant efforts to create accurate computational models, predicting how mutat
Externí odkaz:
https://doaj.org/article/84e54daee5d249749b642b076d0d9aaf
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35769- (2024)
Angiogenesis is an essential process in tumorigenesis, tumor invasion, and metastasis, and is an intriguing pathway for drug discovery. Targeting vascular endothelial growth factor receptor 2 (VEGFR2) to inhibit tumor angiogenic pathways has been wid
Externí odkaz:
https://doaj.org/article/2df7edfe12a549eab8d3e4ff49894a00
Autor:
Amgad Abdallah, Nada Adel, A. M. Elkerdawy, Shihori Tanabe, Frederic Andres, Andreas Pester, Hesham H. Ali
Publikováno v:
IEEE Access, Vol 12, Pp 45519-45529 (2024)
Finding new molecules with desirable properties has high computational and overhead costs. Much research has focused on generating candidate molecules in one- and two-dimensional spaces, which has produced some favorable results. However, extending t
Externí odkaz:
https://doaj.org/article/ade5ba51256742a98891ea0b6b0fd35f
Publikováno v:
eLife, Vol 13 (2024)
Revealing protein binding sites with other molecules, such as nucleic acids, peptides, or small ligands, sheds light on disease mechanism elucidation and novel drug design. With the explosive growth of proteins in sequence databases, how to accuratel
Externí odkaz:
https://doaj.org/article/58a108748c8d4f408ffa65aa5e2a6346
Autor:
Yunda Si, Chengfei Yan
Publikováno v:
eLife, Vol 12 (2024)
Accurate prediction of contacting residue pairs between interacting proteins is very useful for structural characterization of protein–protein interactions. Although significant improvement has been made in inter-protein contact prediction recently
Externí odkaz:
https://doaj.org/article/20faab102b134ac0a45c5b858a91fa76
Publikováno v:
Frontiers in Neuroimaging, Vol 3 (2024)
Diffusion magnetic resonance imaging is sensitive to the microstructural properties of brain tissue. However, estimating clinically and scientifically relevant microstructural properties from the measured signals remains a highly challenging inverse
Externí odkaz:
https://doaj.org/article/5f3e21a3c1654482a740260a31326a3f
Autor:
Tingting Jin, Wei Xu, Roufen Chen, Liteng Shen, Jian Gao, Lei Xu, Xinglong Chi, Nengming Lin, Lixin Zhou, Zheyuan Shen, Bo Zhang
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
G2/M cell cycle checkpoint protein WEE1 kinase is a promising target for inhibiting tumor growth. Although various WEE1 inhibitors have entered clinical investigations, their therapeutic efficacy and safety profile remain unsatisfactory. In this stud
Externí odkaz:
https://doaj.org/article/b4791d4745624695875990f0deb7b536
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 16, Iss 06 (2023)
Neurons can be abstractly represented as skeletons due to the filament nature of neurites. With the rapid development of imaging and image analysis techniques, an increasing amount of neuron skeleton data is being produced. In some scientific studies
Externí odkaz:
https://doaj.org/article/6bac59f30b7a4ace907dcd1b6b6db26a
Publikováno v:
Leida xuebao, Vol 12, Iss 1, Pp 214-234 (2023)
The hardware imperfection can generate a unique fingerprint of the trasmitter, and it is attached to the radio signal. The unique attribute of transmitter can be used for Radio Frequency Fingerprinting (RFF). Due to the unknown channel conditional an
Externí odkaz:
https://doaj.org/article/e1a21c4a42b649be80f192d6cad3b73f
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
The JAKs protein family is composed of four isoforms, and JAK3 has been regarded as a druggable target for the development of drugs to treat various diseases, including hematologic tumors, cancer, and neuronal death. Therefore, the discovery of JAK3
Externí odkaz:
https://doaj.org/article/9430dbcc5edb4d9e8cae17e1aa9ffaf3