Results 81 to 90 of about 402,784 (308)

QSAR MODELING OF ANTIBACTERIAL ACTIVITY OF SOME BENZIMIDAZOLE DERIVATIVES [PDF]

Chemical Industry and Chemical Engineering Quarterly, 2011
A quantitative structure-activity relationship (QSAR) study has been carried out for a training set of 12 benzimidazole derivatives to correlate and predict the antibacterial activity of studied compounds against Gram-negative bacteria Pseudomonas ...
SANJA O. PODUNAVAC-KUZMANOVIĆ, DRAGOLJUB D. CVETKOVIĆ   +1 more
doaj  

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Quantitative structure-activity relationship a strojové učení

, 2023
Quantitative structure-activity relationship (QSAR) computational methods allow us to examine the relationship between the chemical structure of molecules and their chemical or biological properties.
Nierostek, Jakub
core  

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

FEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu, Lanlan Li, Wenjuan Jia, Hanzhong Feng, Xiaoquan Yu, Youli Zhao, Fengzhi Yuan, Hui Ding, Junqiang Tian, Yong‐Xing He, Zhiping Wang   +10 more
wiley   +1 more source

Genetic algorithms: A tool for quantitative structure-activity relationship analyses.

, 1996
Genetic algorithms: A tool for quantitative structure-activity relationship ...
Hitesh C. Patel (7967996)
core  

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Structure-based quantitative structure–activity relationship modeling of estrogen receptor β-ligands

, 2011
Background: A variety of chemotypes have been studied as estrogen receptor (ER) β-selective ligands for potential drugs against various indications, including neurodegenerative diseases.
Solomon G Hilliard, Weifan Zheng, Xialan Dong   +2 more
core   +1 more source

Study on quantitative structure–activity relationship of amine surfactants in coal reverse flotation [PDF]

, 2023
Liang Shen, Zihan Li, Jiabao Gong, Lingyun Liu, Erle Qiao, Yifang Liu, Fanfei Min   +6 more
openalex   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

FEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin, Ziyang Yuan, Wenli Jiang, Ai Guo   +3 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source