Results 51 to 60 of about 8,194,451 (253)

AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders

BMC Bioinformatics, 2021
Background Drug–target interaction (DTI) plays a vital role in drug discovery. Identifying drug–target interactions related to wet-lab experiments are costly, laborious, and time-consuming.
Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi   +3 more
doaj   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

FEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai, Mohyeddine Omrane, Nassima Benzoubir, Didier Samuel, Ama Gassama‐Diagne   +4 more
wiley   +1 more source

Identifying potential drug-target interactions based on ensemble deep learning

Frontiers in Aging Neuroscience, 2023
IntroductionDrug-target interaction prediction is one important step in drug research and development. Experimental methods are time consuming and laborious.MethodsIn this study, we developed a novel DTI prediction method called EnGDD by combining ...
Liqian Zhou, Yuzhuang Wang, Lihong Peng, Zejun Li, Xueming Luo   +4 more
doaj   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

Drug repurposing and prediction of multiple interaction types via graph embedding

BMC Bioinformatics, 2023
Background Finding drugs that can interact with a specific target to induce a desired therapeutic outcome is key deliverable in drug discovery for targeted treatment.
E. Amiri Souri, A. Chenoweth, S. N. Karagiannis, S. Tsoka   +3 more
doaj   +1 more source

EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction

Biomolecules, 2021
The identification of drug-target interaction (DTI) plays a key role in drug discovery and development. Benefitting from large-scale drug databases and verified DTI relationships, a lot of machine-learning methods have been developed to predict DTIs ...
Yuan Jin, Jiarui Lu, Runhan Shi, Yang Yang   +3 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

BMC Bioinformatics
Background Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target.
Xin Zeng, Guang-Peng Su, Shu-Juan Li, Shuang-Qing Lv, Meng-Liang Wen, Yi Li   +5 more
doaj   +1 more source

Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs

Computational and Structural Biotechnology Journal, 2020
Drug repositioning aims to find new indications for existing drugs in order to reduce drug development cost and time. Currently,there are numerous stories of successful drug repositioning that have been reported and many repurposed drugs are already ...
Daniele Parisi, Melissa F. Adasme, Anastasia Sveshnikova, Sarah Naomi Bolz, Yves Moreau, Michael Schroeder   +5 more
doaj   +1 more source

Detecting Drug–Target Interactions with Feature Similarity Fusion and Molecular Graphs

Biology, 2022
The key to drug discovery is the identification of a target and a corresponding drug compound. Effective identification of drug–target interactions facilitates the development of drug discovery.
Xiaoli Lin, Shuai Xu, Xuan Liu, Xiaolong Zhang, Jing Hu   +4 more
doaj   +1 more source