Results 171 to 180 of about 228,098 (300)

In silico prediction of variant effects: promises and limitations for precision plant breeding. [PDF]

Theor Appl Genet
Sendrowski J, Bataillon T, Ramstein GP.
europepmc   +1 more source

In silico predictions; in vivo veritas [PDF]

Nature Biotechnology, 1999
Anne S. De Groot, Frank G. Rothman
openaire   +1 more source

Nanoplastics and Neurodegeneration: A Roadmap From Mechanism to Causation

Advanced Science, EarlyView.
Nanoplastics are pervasive environmental contaminants with potentially profound implications for human health. Emerging evidence suggests a possible link between nanoplastic exposure and neurodegeneration, a key driver of ageing and dementia, yet causality remains unresolved.
Yuhuan Li, Yue Wang, Xiufang Liang, Mengze Xu, David T. Leong, Pu Chun Ke   +5 more
wiley   +1 more source

In silico prediction of the binding structure between vitellogenin and vitellogenin receptor of Haemaphysalis longicornis. [PDF]

J Vet Med Sci
Behri M, Kawada H, Koike Y, Sasaki S, Kwofie KD, Kunisada H, Inoue T, Mizutani K, Jimbo K, Mikami F, Machida K, Matsubayashi M, Tsuji N, Hatta T, Matsumoto Y.   +14 more
europepmc   +1 more source

Cancer‐Associated Fibroblast‐Derived Sphingosine‐1‐Phosphate Activates a MALL–SDC4 Axis to Facilitate Perineural Invasion in Pancreatic Cancer

Advanced Science, EarlyView.
CAF‐derived S1P activates the S1PR3‐JNK‐Jun signaling pathway, thereby transcriptionally upregulating MALL expression in cancer cells. MALL increases the cell‐surface abundance of SDC4 by promoting its recycling and restricting its lysosomal degradation, which in turn enhances RhoA‐p‐MLC2‐dependent amoeboid invasion and SDC4‐PTN axis‐mediated cancer ...
Wang Peng, Mengdie Cao, Hai Huang, Shuya Bai, Luyao Liu, Jingwen Liang, Haochen Cui, Qiaodan Zhou, Shiru Chen, Jiamei Jiang, Luoxia Liu, Zhou Luan, Wei Chen, Si Xiong, Ronghua Wang, Bin Cheng, Yuchong Zhao   +16 more
wiley   +1 more source

Identifying metabolites of new psychoactive substances using in silico prediction tools. [PDF]

Arch Toxicol
Pelletier R, Nahle D, Sarr M, Bourdais A, Morel I, Le Daré B, Gicquel T.   +6 more
europepmc   +1 more source

Operando X‐Ray Diffraction and Total Scattering Characterization of Battery Materials: Not Just a Pretty Picture

Advanced Energy Materials, EarlyView.
This review focuses on operando studies of battery materials by X‐ray diffraction (XRD) and total X‐ray scattering (TXS). This work highlights potential pitfalls and identify best‐practices for operando studies and reviews some unusual experiments to illustrate how these methods can be applied beyond the evaluation of the early‐stage cycling mechanisms
Amalie Skurtveit, Eira Tiberg North, Izar Capel Berdiell, Wouter Van Beek, David S. Wragg, Alexey Y. Koposov   +5 more
wiley   +1 more source

In Silico Prediction for Regulation of Transcription Factors onTheir Shared Target Genes Indicates Relevant Clinical Implications in a Breast Cancer Population

Cancer Informatics, 2012
Fon-Jou Hsieh, King-Jen Chang, Ming-Kwang Shyu, Hsiao-Lin Hwa, Wen-Hung Kuo, Li-Yun Chang, Li-Yu D Liu   +6 more
doaj  

Toxic Evaluations of Calea phyllolepis Extracts Standardized on 6-epi-β-Verbesinol Coumarate and Its In Silico Prediction of the Toxicity. [PDF]

Chem Biodivers
Vencato SB, Borsoi G, Feistel C, Charão MF, Joaquim AR, Picada JN, Ferraz ABF.   +6 more
europepmc   +1 more source

Drug repurposing by in silico prediction of cyclizine derivatives as antihyperlipemic agents. [PDF]

In Silico Pharmacol, 2023
Afanamol MS, Dinesh AD, Ali KS, Vengamthodi A, Rasheed A.   +4 more
europepmc   +1 more source