Results 61 to 70 of about 5,296,026 (294)

Adjoint and Unrolled Automatic Differentiation for Laplace‐Approximated Likelihoods in Population PK and PK/PD Models

CPT: Pharmacometrics & Systems Pharmacology
Maximum likelihood estimation in population pharmacokinetic/pharmacodynamic (PK/PD) nonlinear mixed‐effects (NLME) models targets fixed‐effect, interindividual‐variability, and residual‐variability parameters through a marginal likelihood that integrates
Guido H. Jajamovich, William Holmes, Chih‐Wei Lin, Khamir Mehta   +3 more
doaj   +1 more source

Cycle Network Model of Prostaglandin H Synthase-1

Pharmaceuticals, 2020
The kinetic model of Prostaglandin H Synthase-1 (PGHS-1) was developed to investigate its complex network kinetics and non-steroidal anti-inflammatory drugs (NSAIDs) efficacy in different in vitro and in vivo conditions. To correctly describe the complex
Alexey Goltsov, Maciej Swat, Kirill Peskov, Yuri Kosinsky   +3 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Event Prediction for Modeling Mental Simulation in Naturalistic Decision Making [PDF]

, 2005
Nearly all armies of the Western Hemisphere use modeling and simulation tools as an essential part for analysis and training their leaders and war fighters.
Kunde, Dietmar, Darken, Christian J.
core   +2 more sources

Reuse in software process simulation modeling

, 2022
4 S. : Lit.Many simulation models of software development processes were created in the recent years and a lot of effort was spent during the development of detailed models.
Rus, I., Neu, H.
core   +1 more source

A novel Bayesian generative approach for estimating tumor dynamics from published studies

CPT: Pharmacometrics & Systems Pharmacology
Tumor growth inhibition (TGI) modeling attempts to describe the time course changes in tumor size for patients undergoing cancer therapy. TGI models present several advantages over traditional exposure–response models that are based explicitly on ...
Arya Pourzanjani, Saurabh Modi, Jamie Connarn, Xinwen Zhang, Vijay Upreti, Chih‐Wei Lin, Khamir Mehta   +6 more
doaj   +1 more source

Disruptions to shared mental models from poor quality of service in collaborative virtual environments

Scientific Reports, 2021
Collaborative virtual environments are being used in various applications ranging from online games to complex team training scenarios. The key to the success of such environments is the ability of the participants to form a shared mental model of the ...
Nicholas Milef, Adam Ryason, Di Qi, Samuel O. Alfred, Cullen D. Jackson, Suvranu De   +5 more
doaj   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

Approximating trigonometric functions by using exponential inequalities

Journal of Inequalities and Applications, 2019
In this paper, some exponential inequalities are derived from the inequalities containing trigonometric functions. Numerical examples show that one can achieve much tighter bounds than those of prevailing methods, which are presented by Cusa, Huygens ...
Xiao-Diao Chen, Junyi Ma, Yixin Li
doaj   +1 more source

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source