Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach
Por um escritor misterioso
Last updated 11 novembro 2024
Development of AOP relevant to microplastics based on toxicity mechanisms of chemical additives using ToxCast™ and deep learning models combined approach - ScienceDirect
Frontiers A Case Study on Integrating a New Key Event Into an Existing Adverse Outcome Pathway on Oxidative DNA Damage: Challenges and Approaches in a Data-Rich Area
In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities. - Abstract - Europe PMC
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications
Defining Molecular Initiating Events in the Adverse Outcome Pathway Framework for Risk Assessment
High throughput data-based, toxicity pathway-oriented development of a quantitative adverse outcome pathway network linking AHR activation to lung damages - ScienceDirect
Identification of toxicity pathway of diesel particulate matter using AOP of PPARγ inactivation leading to pulmonary fibrosis - ScienceDirect
PPARγ agonists inhibit TGF-β induced pulmonary myofibroblast differentiation and collagen production: implications for therapy of lung fibrosis
PDF) Novel QSAR Models for Molecular Initiating Event Modeling in Two Intersecting Adverse Outcome Pathways Based Pulmonary Fibrosis Prediction for Biocidal Mixtures
PDF) Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach
Adverse outcome pathways as a tool for the design of testing strategies to support the safety assessment of emerging advanced materials at the nanoscale, Particle and Fibre Toxicology
Toxics, Free Full-Text
Frontiers From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study
In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities. - Abstract - Europe PMC
Recomendado para você
-
Kelly Godoy - 03.04.201511 novembro 2024
-
Tudo sobre Kelly Godoy - Portal Alta Definição11 novembro 2024
-
Kevin Spacey - Wikipedia11 novembro 2024
-
Olympic Volleyball Players of Brazil: Gilberto Godoy Filho11 novembro 2024
-
Kily González - Wikipedia11 novembro 2024
-
Fishing and integrated subsistence in central Mexican domesticated11 novembro 2024
-
Record News Rural - Wikiwand11 novembro 2024
-
Jamie Lee Curtis, Voice over and voice acting Wiki11 novembro 2024
-
Somi Zenzile: The Reimagination of Miriam Makeba11 novembro 2024
-
We Have Been There Before – American University of Health Sciences11 novembro 2024
você pode gostar
-
Counter-Strike GO Release Date And Pricing Announced - GameRevolution11 novembro 2024
-
d9b7dfc8ff1f1746175c34660f396168248c96c2.png11 novembro 2024
-
EB24 about League of Legends #48, Patch 11.12 Tier List - Top - Prepared by EB24 smalltree11 novembro 2024
-
File:Poki logo.svg - Wikipedia11 novembro 2024
-
Steven pede conselhos para Rubi e Safira11 novembro 2024
-
Baller, BEAR ALT Wiki11 novembro 2024
-
How To Get a Herobrine Skin in Minecraft Bedrock Edition (PS4, Xbox One, Pc, Nintendo Switch)11 novembro 2024
-
Schach Nouera, Heroic 2008 Grievous Wiki11 novembro 2024
-
Border Collie, o cachorro mais inteligente do mundo11 novembro 2024
-
BBS-Simulator Bleach anime, Bleach anime ichigo, Bleach manga11 novembro 2024