Results 11 to 20 of about 309,952 (268)

Negative Symptoms in Schizophrenia: Exploring Glutamatergic Modulation Using a Computer-Based Quantitative Systems Pharmacology Approach

open access: yesFrontiers in Pharmacology, 2014
Although many antipsychotics can reasonably control positive symptoms in schizophrenia, patients’ return to society is often hindered by negative symptoms and cognitive deficits.
Hugo eGeerts   +4 more
doaj   +1 more source

Assessing the synergy between cholinomimetics and memantine as augmentation therapy in Cognitive Impairment in Schizophrenia. A virtual human patient trial using Quantitative Systems Pharmacology

open access: yesFrontiers in Pharmacology, 2015
While many drug discovery research programs aim to develop highly selective clinical candidates, their clinical success is limited because of the complex non-linear interactions of human brain neuronal circuits.
Hugo eGeerts   +4 more
doaj   +1 more source

A Modular Repository-based Infrastructure for Simulation Model Storage and Execution Support in the Context of Oncology and Medicine

open access: yesCancer Informatics, 2016
The plethora of available disease prediction models and the ongoing process of their application into clinical practice – following their clinical validation – have created new needs regarding their efficient handling and exploitation.
Nikolaos A. Christodoulou   +5 more
doaj   +1 more source

TeachOpenCADD: a teaching platform for computer-aided drug design using open source packages and data

open access: yesJournal of Cheminformatics, 2019
Owing to the increase in freely available software and data for cheminformatics and structural bioinformatics, research for computer-aided drug design (CADD) is more and more built on modular, reproducible, and easy-to-share pipelines.
Dominique Sydow   +3 more
doaj   +1 more source

Insulin sensitivity in critically ill patients: are women more insulin resistant?

open access: yesAnnals of Intensive Care, 2021
Background Glycaemic control (GC) in intensive care unit is challenging due to significant inter- and intra-patient variability, leading to increased risk of hypoglycaemia. Recent work showed higher insulin resistance in female preterm neonates.
Vincent Uyttendaele   +5 more
doaj   +1 more source

How can we discover developable antibody-based biotherapeutics?

open access: yesFrontiers in Molecular Biosciences, 2023
Antibody-based biotherapeutics have emerged as a successful class of pharmaceuticals despite significant challenges and risks to their discovery and development.
Joschka Bauer   +10 more
doaj   +1 more source

In Silico Studies on DARC

open access: yesInfectious Disorders - Drug Targets, 2009
The Duffy Antigen/Receptor for Chemokine (DARC) is a seven segment transmembrane protein. It was firstly discovered as a blood group antigen and was the first specific gene locus assigned to a specific autosome in man. It became more famous as an erythrocyte receptor for malaria parasites (Plasmodium vivax and Plasmodium knowlesi), and finally for ...
de Brevern, Alexandre   +4 more
openaire   +4 more sources

Reducing the Complexity of Musculoskeletal Models Using Gaussian Process Emulators

open access: yesApplied Sciences, 2022
Musculoskeletal models (MSKMs) are used to estimate the muscle and joint forces involved in human locomotion, often associated with the onset of degenerative musculoskeletal pathologies (e.g., osteoarthritis).
Ivan Benemerito   +3 more
doaj   +1 more source

In Silico

open access: yesEducational Media Reviews Online, 2023
Distributed by Collective Eye Films, 1315 SE 20th Ave. #3, Portland OR 97214; 971-236-2056Produced by Kellen Quinn, Taylor Hess, and Jesse MillerDirected by Noah Hutton2020, Streaming, 83 mins In Silico chronicles the ten-year project to create a digital simulacrum of a human brain and the fortunes and foibles accompanying such a grandiose and ...
openaire   +1 more source

Global reactivity models are impactful in industrial synthesis applications

open access: yesJournal of Cheminformatics, 2023
Artificial Intelligence is revolutionizing many aspects of the pharmaceutical industry. Deep learning models are now routinely applied to guide drug discovery projects leading to faster and improved findings, but there are still many tasks with enormous ...
Paulo Neves   +8 more
doaj   +1 more source

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