Results 101 to 110 of about 2,729,950 (336)

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Identification of sitagliptin binding proteins by affinity purification mass spectrometry

Acta Biochimica et Biophysica Sinica, 2022
Type 2 diabetes mellitus (T2DM) is recognized as a serious public health concern with increasing incidence. The dipeptidyl peptidase-4 (DPP-4) inhibitor sitagliptin has been used for the treatment of T2DM worldwide.
Wang Xue-Ning, Sim Byu-Ri, Chen Hong, Zheng Yun-Xiao, Xue Jun-Biao, Wang Lei, Kong Wei-Sha, Zhou Kuan, Guo Shu-Juan, Hou Jing-Li, Zhang Jiong, Jiang He-Wei, Tao Sheng-Ce   +12 more
doaj   +1 more source

Differentiation Therapy Targeting the β-Catenin/CBP Interaction in Pancreatic Cancer. [PDF]

, 2018
BACKGROUND:Although canonical Wnt signaling is known to promote tumorigenesis in pancreatic ductal adenocarcinoma (PDAC), a cancer driven principally by mutant K-Ras, the detailed molecular mechanisms by which the Wnt effector β-catenin regulates such ...
Chen, Yibu, Genyk, Yuri S, Kahn, Michael, Lai, Keane KY, Lenz, Heinz-Josef, Lin, David P, Manegold, Philipp, Nguyen, Cu, Pandol, Stephen J, Teo, Jia-Ling, Wu, Kaijin, Wu, Yongfeng, Zhao, Yi   +12 more
core   +2 more sources

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +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

Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets [PDF]

, 2014
BACKGROUND: Genome-wide microarrays have been useful for predicting chemical-genetic interactions at the gene level. However, interpreting genome-wide microarray results can be overwhelming due to the vast output of gene expression data combined with off-
Christadore, Lisa M., Kolaczyk, Eric D., Pham, Lisa, Schaus, Scott E.   +3 more
core   +1 more source

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

A directed weighted network-based method for drug combinations identification using drug-target and inter-target regulation

BMC Bioinformatics
Background Drug combination is currently a promising solution in treating complex diseases due to its reducing toxicity and enhancing therapeutic efficacy. However, the accurate identification of drug combination effects remains challenging.
Shen Xiao, Yuhang Li, Jinwei Bai, Zhenhua Shen, Can Huang, Rongwu Xiang, Yuxuan Zhai, Xiwei Jiang   +7 more
doaj   +1 more source

Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

Briefings Bioinform., 2020
The task of predicting the interactions between drugs and targets plays a key role in the process of drug discovery. There is a need to develop novel and efficient prediction approaches in order to avoid costly and laborious yet not-always-deterministic ...
M. Bagherian, Elyas Sabeti, Kai Wang, M. Sartor, Z. Nikolovska-Coleska, K. Najarian   +5 more
semanticscholar   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

FEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan, Mathew Stanley, Olawale Raimi, Andrew T. Ferenbach, Helge C Dorfmueller, Daan M. F. van Aalten   +5 more
wiley   +1 more source