Results 191 to 200 of about 1,723,253 (280)

Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity. [PDF]

Chem Res Toxicol, 2019
Ciallella HL, Zhu H.
europepmc   +1 more source

Prime editing in neuropsychiatric disorders: From mutation‐specific target selection to clinical translation

Neuroprotection, EarlyView.
Abstract Prime editing, a novel clustered regularly interspaced short palindromic repeats (CRISPR)‐based technology, fuses a reverse transcriptase (RT) to an engineered CRISPR‐associated protein 9 (Cas9) and uses a prime editing guide RNA (pegRNA)‐encoded template.
Tianshan Ji, Yuan Zhang, Jinyi Zhao, Yiping Lu, Chengkun Wang   +4 more
wiley   +1 more source

Exploring the Reproductive Toxicity of Bisphenol S Through a Network Toxicology and Molecular Docking Analysis

Pediatric Discovery, EarlyView.
Utilizing network toxicology, molecular docking, and dynamic simulations to investigate the potential reproductive toxicity of bisphenol S (BPS). ABSTRACT The aim of this study was to investigate the potential reproductive toxicity of bisphenol S (BPS) and the related molecular mechanisms through a network toxicology approach.
Siyuan Wang, Yan Fu, Xu Huang, Qitong Guo, Xiangqin Zheng, Shengde Wu, Lianju Shen, Guanghui Wei   +7 more
wiley   +1 more source

Evolutionary trade‐offs between beauvericin production and growth define divergent virulence strategies in Beauveria

Pest Management Science, EarlyView.
Two virulence strategies in Beauveria: a growth strategy characterized by rapid within‐host proliferation, and a toxin strategy involving antimicrobial activity and toxicity to insects Abstract BACKGROUND Pathogen virulence is often attributed to toxin production, yet toxins are metabolically costly and may not universally enhance fitness.
Shasha Hu, Lana L B de Carvalho, Ricardo A Polanczyk, Michael J Bidochka   +3 more
wiley   +1 more source

NNI Nanoinformatics Conference 2023: Movement Toward a Common Infrastructure for Federal nanoEHS Data Computational Toxicology: Short Communication. [PDF]

Comput Toxicol
Mortensen HM, Amos JD, Exner TE, Flores K, Harper S, Jarabek AM, Klaessig F, Lobaskin V, Lynch I, Marcum CS, Martens M, Brough B, Spadola Q, Bjorkland R.   +13 more
europepmc   +1 more source

Modelling the phenology of the grapevine leafhopper Erasmoneura vulnerata

Pest Management Science, EarlyView.
This study developed and validated a phenological population dynamics model for Erasmoneura vulnerata, integrating field monitoring and literature data to reproduce observed seasonal patterns across multiple sites. Abstract BACKGROUND Erasmoneura vulnerata (Fitch) (Hemiptera: Cicadellidae) is an invasive Nearctic leafhopper that has become a pest of ...
Andrea De Francesco, Andrea Pintossi, Anna Simonetto, Igor Daniel Weber, Paola Gervasio, Gianni Gilioli   +5 more
wiley   +1 more source

Novel tetronamides derived from mucobromic acid: synthesis, structural elucidation, DFT calculations and phytotoxic activity

Pest Management Science, EarlyView.
The acyclic mucobromic acid, activated by (1S)‐(+)‐10‐camphorsulfonic acid, afforded the chiral compound 1b, precursor for aza‐Michael addition/elimination on the butenolide yielding tetronamides 2b‐7b. Their relative SRSR configuration was confirmed by the spectrometric methods, DFT calculation and statistical methods.
Kamylla CF Faria, Vitor C Baia, Elson S Alvarenga   +2 more
wiley   +1 more source

Correction to: Computational toxicology in drug discovery: applications of artificial intelligence in ADMET and toxicity prediction. [PDF]

Brief Bioinform
europepmc   +1 more source

Innovation in pest management: can the past inform the future?

Pest Management Science, EarlyView.
Progress in pest management occurred incrementally, but occasionally, transformative discoveries introduced disruptive technologies. Looking ahead, generative artificial intelligence is expected to accelerate agricultural discovery by integrating vast datasets from mechanization, genetics, and chemistry.
Eric Moog, Franck E. Dayan
wiley   +1 more source

Soybean plant architecture influences the capacity of Telenomus podisi to parasitize Euschistus heros eggs: implications for field releases

Pest Management Science, EarlyView.
Increasing soybean plant architectural complexity reduces the ability of Telenomus podisi to parasitize Euschistus heros eggs, highlighting the need to adjust parasitoid release rates in the field according to plant complexity (arrow direction and thickness correspond to the increasing strength of the variable) . Abstract BACKGROUND Plant architectural
Nathália Graziele Falcão Fernandes, Elianara Carvalho Cardoso, João Pedro Benaci Ayusso, Lessando Moreira Gontijo   +3 more
wiley   +1 more source