Results 121 to 130 of about 3,045,461 (301)

Computational Toxicology @ German Toxicology Society

, 2022
S.S248 ...
Brocke, J. vom, Frericks, M., Escher, S.E., Anger, L.T.   +3 more
core  

Targeting Amastigote and Trypomastigote Phases: Multi‐Epitope Vaccine Strategy Against Trypanosoma cruzi

Biotechnology and Applied Biochemistry, EarlyView.
ABSTRACT Effective vaccines against Trypanosoma cruzi, the causative agent of Chagas disease, are urgently needed. Here, we report the design and in silico validation of a novel multiepitope vaccine construct targeting the key surface proteins ASP‐2 and gp82. Using a comprehensive immunoinformatics pipeline, we identified and selected 38 potent T‐cell (
Maria Karolaynne da Silva, Caio Patrício de Souza Sena, Davi Serradella Vieira, Magdi E. A. Zaki, Leow Chiuan Yee, Shahina Akter, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira, João Firmino Rodrigues‐Neto   +8 more
wiley   +1 more source

Artificial Intelligence and Machine Learning Models for Predicting Drug-Induced Kidney Injury in Small Molecules

Pharmaceuticals
Background/Objectives: Drug-Induced Kidney Injury (DIKI) presents a significant challenge in drug development, often leading to clinical-stage failures. The early prediction of DIKI risk can improve drug safety and development efficiency. Existing models
Mohan Rao, Vahid Nassiri, Sanjay Srivastava, Amy Yang, Satjit Brar, Eric McDuffie, Clifford Sachs   +6 more
doaj   +1 more source

Mind the Gap ! A Journey towards Computational Toxicology

, 2016
Computational methods have advanced toxicology towards the development of target-specific models based on a clear cause-effect rationale. However, the predictive potential of these models presents strengths and weaknesses.
Cellamare, Saverio, Marco Catto, Leonardo Pisani, ALBERGA, DOMENICO, Cosimo Damiano Altomare, STEFANACHI, ANGELA, TRISCIUZZI, DANIELA, GADALETA, DOMENICO, Orazio Nicolotti, NICOLOTTI, ORAZIO, CATTO, Marco, Angela Stefanachi, ALTOMARE, Cosimo Damiano, Saverio Cellamare, Daniela Trisciuzzi, MANGIATORDI, Giuseppe Felice, CAROTTI, Angelo, Lattanzi, Gianluca, PISANI, LEONARDO, LEONETTI, Francesco, Gianluca Lattanzi, Domenico Alberga, Domenico Gadaleta, Giuseppe Felice Mangiatordi, Angelo Carotti, Francesco Leonetti   +25 more
core   +1 more source

Chlorella vulgaris biorefineries: sustainable biofuels and high‐value carbon capture

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Global reliance on fossil fuels has created urgent economic and environmental challenges, yet large‐scale use of algal biomass remains limited by production costs. Industrial scaling is constrained by inefficient harvesting and the technical challenges of processing recalcitrant cell walls.
Sandyelle Ferreira Alcântara Araújo, Antonio Átila Menezes Ferreira, Lucia Andrea Sindeaux de Oliveira, Dayana Nascimento Dari, Devany Quintela Soares, Eliana Elisa Francelino Mavie, Francisco Leonardo Alves de Moraes Sousa, Jessica Lopes da Silva, João Vitor Gomes de Araújo Silva, Thiago Queiroz da Silva, Ana Karine Portela Vasconcelos, Kelma Maria dos Santos Pires Cavalcante, John Hebert da Silva Felix, José Cleiton Sousa dos Santos   +13 more
wiley   +1 more source

TAME 2.0: expanding and improving online data science training for environmental health research

Frontiers in Toxicology
IntroductionData science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment.
Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager   +45 more
doaj   +1 more source

First‐in‐human, phase I, randomized, safety, pharmacokinetic, food‐effect and pharmacodynamic study of a tyrosine kinase 2/Janus kinase 1 inhibitor, SDC‐1801

British Journal of Clinical Pharmacology, EarlyView.
Aim The purpose of this study is to evaluate safety, tolerability, pharmacokinetics (PK), food‐effect (FE) and pharmacodynamics (PD) of an oral tyrosine kinase‐2 (TYK2)/Janus kinase‐1 (JAK1) inhibitor, SDC‐1801, in healthy adult participants. Methods This first‐in‐human study randomized 95 male and female participants.
Chris Brearley, Sam Francis, John Reader, Judi Proctor   +3 more
wiley   +1 more source

Chemical Reactivity and Skin Sensitization Studies on a Series of Chloro- and FluoropyrrolesA Computational Approach

ACS Omega, 2021
Jaganathan Padmanabhan, Zeeshan Arif, Prakrity Singh, Ramakrishnan Parthasarathi   +3 more
doaj   +1 more source

Machine learning methods in computational toxicology

, 2020
© Springer Science+Business Media, LLC, part of Springer Nature 2018. Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both “

core  

Computational Toxicology: An Overview of the Sources of Data and of Modelling Methods

, 2009
Background: Toxicology has the goal of ensuring the safety of humans, animals and the environment. Computational toxicology is an area of active development and great potential. There are tangible reasons for the emerging interest in this discipline from
Nigsch, F, Zmuidinavicius, D, Mitchell, John Blayney Owen, Macaluso, NJM   +3 more
core   +1 more source