Results 71 to 80 of about 15,492,277 (241)

Processed Data: Structure-Property Relationship

, 2022
Data set provides the process data concerning the structure-property relationship.
Atul Chauhan (11771060)
core   +1 more source

Hyperactive ice‐binding proteins stabilize cell membranes and improve resistance to dehydration stress in Caenorhabditis elegans

FEBS Open Bio, EarlyView.
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose, Kotaro Ozaki, Ryohei Kuriyama, Yuka Ikemoto, Kazuhiro Mio, Yuji C. Sasaki, Tatsuya Arai, Sakae Tsuda, Yoichi Shinkai, Masahiro Kuramochi   +9 more
wiley   +1 more source

A Quantitative Structure-Property Relationship Model Based on Chaos-Enhanced Accelerated Particle Swarm Optimization Algorithm and Back Propagation Artificial Neural Network

Applied Sciences, 2018
A quantitative structure-property relationship (QSPR) model is proposed to explore the relationship between the pKa of various compounds and their structures. Through QSPR studies, the relationship between the structure and properties can be obtained. In
Mengshan Li, Huaijin Zhang, Liang Liu, Bingsheng Chen, Lixin Guan, Yan Wu   +5 more
doaj   +1 more source

Quantitative prediction of rat hepatotoxicity by molecular structure

, 2018
In this article, Quantitative Structure Activity Relationships (QSAR) were generated to link the structure of over 120 heterogeneous drugs to rat hepatotoxicity.
O. Taboureau, Ester Papa, Alessandro Sangion, E. Papa, Paola Gramatica, A. Sangion, P. Gramatica, Olivier Taboureau   +7 more
core   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

FEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell, Cassy Ross, Panagiota S. Filippou, Bruno Silvester Lopes, Dominic Gilchrist, Paul Dean, Kamar Ameen‐Ali, Tora K. Smulders‐Srinivasan, Ahmad A. Khundakar   +8 more
wiley   +1 more source

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

FEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan, Ikram A. Burney, Shika Hanif Malgundkar, Siva Ramamoorthy, Ressin Varghese, Mohamed A. Al‐Kindi, Hamad Al Riyami, Shadia Al Bahlani, Sergey Dobretsov, Syed Imran Hassan, Benjamin K. Tsang, Yahya Tamimi   +11 more
wiley   +1 more source

Ionomycin suppresses cancer cell growth by disrupting mitochondrial transcription

FEBS Open Bio, EarlyView.
In this study, we identify a new function for the selective Ca2+ ionophore, ionomycin, as an inhibitor of mitochondrial transcription. Both total and nascent RNA analyses revealed that ionomycin treatment reduces the transcription of mitochondrial genes.
Lishen Wang, Mingqiang Deng, Dongmei He, Diqin Lai, Dongjun Liu, Dengyong Zhu, Zhenhua Zhang, Peng Tang, Chuanman Zhou, Menghui Yin, Xichen Bao   +10 more
wiley   +1 more source

Performance Prediction of Diester-Based Lubricants Using Quantitative Structure–Property Relationship and Artificial Neural Network Approaches

Lubricants
Ester-based lubricants have been widely used owing to their excellent overall performance. In this study, the quantitative structure–property relationship (QSPR) approach was combined with molecular descriptors, a genetic algorithm (GA), and an ...
Hanlu Wang, Yongkang Tang, Hui Wang, Pihui Pi, Yuxiu Zhou, Xingye Zeng   +5 more
doaj   +1 more source

The 4-arylaminocoumarin derivatives log P values calculated according to Rekker's method

Biomolecules & Biomedicine, 2003
In the QSAR (quantitative structure-activity relationship) and QSPR (quantitative structure-property-activity relationship) study physico-chemical property, lipophilicity is used, to predict bioactivity of the newly synthesized coumarin compounds ...
Davorka Završnik, Selma Špirtović, Samija Muratović   +2 more
doaj   +1 more source

Raw Data: Structure-Property

, 2022
This dataset provides raw data to reproduce the structure-property relationships.
Atul Chauhan (11771060)
core   +1 more source