Results 41 to 50 of about 236,648 (327)

In silico models of cancer [PDF]

WIREs Systems Biology and Medicine, 2010
AbstractCancer is a complex disease that involves multiple types of biological interactions across diverse physical, temporal, and biological scales. This complexity presents substantial challenges for the characterization of cancer biology, and motivates the study of cancer in the context of molecular, cellular, and physiological systems ...
Lucas B, Edelman, James A, Eddy, Nathan D, Price   +2 more
openaire   +2 more sources

Predicting Skin Permeability by means of Computational Approaches : Reliability and Caveats in Pharmaceutical Studies [PDF]

, 2019
© 2019 American Chemical Society.The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters.
Almerico, Anna Maria, Hoffman, Ewelina, Hutter, Victoria, Pecoraro, Beatrice, Traynor, Matthew, Tutone, Marco   +5 more
core   +2 more sources

Thermodynamic stability, in-vitro permeability, and in-silico molecular modeling of the optimal Elaeis guineensis leaves extract water-in-oil nanoemulsion

Scientific Reports, 2021
Nanoemulsion is a delivery system used to enhance bioavailability of plant-based compounds across the stratum corneum. Elaeis guineensis leaves are rich source of polyphenolic antioxidants, viz. gallic acid and catechin. The optimal E.
Nissha Bharrathi Romes, Roswanira Abdul Wahab, M. Abdul Hamid, H. Oyewusi, N. Huda, R. Kobun   +5 more
semanticscholar   +1 more source

In-Silico Trials for Treatment of Acute Ischemic Stroke

Frontiers in Neurology, 2020
Despite improved treatment, a large portion of patients with acute ischemic stroke due to a large vessel occlusion have poor functional outcome. Further research exploring novel treatments and better patient selection has therefore been initiated.
Praneeta R. Konduri, Praneeta R. Konduri, Henk A. Marquering, Henk A. Marquering, Ed E. van Bavel, Alfons Hoekstra, Charles B. L. M. Majoie, The INSIST Investigators   +7 more
doaj   +1 more source

Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes [PDF]

, 2014
Target identification, one of the steps of drug discovery, aims at identifying biomolecules whose function should be therapeutically altered in order to cure the considered pathology.
Boissel, Jean-Pierre, Poret, Arnaud
core   +4 more sources

Genome-driven evolutionary game theory helps understand the rise of metabolic interdependencies in microbial communities [PDF]

, 2017
Metabolite exchanges in microbial communities give rise to ecological interactions that govern ecosystem diversity and stability. It is unclear, however, how the rise of these interactions varies across metabolites and organisms.
Segre, Daniel, Zomorrodi, Ali R.
core   +2 more sources

In Silico Modeling [PDF]

Critical Care Medicine, 2013
To familiarize clinicians with advances in computational disease modeling applied to trauma and sepsis.PubMed search and review of relevant medical literature.Definitions, key methods, and applications of computational modeling to trauma and sepsis are reviewed.Computational modeling of inflammation and organ dysfunction at the cellular, organ, whole ...
Yoram, Vodovotz, Timothy R, Billiar
openaire   +2 more sources

Cellular Level In-silico Modeling of Blood Rheology with An Improved Material Model for Red Blood Cells

Frontiers in Physiology, 2017
Many of the intriguing properties of blood originate from its cellular nature. Therefore, accurate modeling of blood flow related phenomena requires a description of the dynamics at the level of individual cells.
G. Závodszky, Britt van Rooij, Victor Azizi, A. Hoekstra   +3 more
semanticscholar   +1 more source

In silico prediction of siRNA ionizable-lipid nanoparticles In vivo efficacy: Machine learning modeling based on formulation and molecular descriptors

Frontiers in Molecular Biosciences, 2021
In silico prediction of the in vivo efficacy of siRNA ionizable-lipid nanoparticles is desirable as it can save time and resources dedicated to wet-lab experimentation. This study aims to computationally predict siRNA nanoparticles in vivo efficacy.
Abdelkader A. Metwally, Amira A Nayel, R. Hathout   +2 more
semanticscholar   +1 more source

Combined In Silico, In Vivo, and In Vitro Studies Shed Insights into the Acute Inflammatory Response in Middle-Aged Mice [PDF]

, 2013
We combined in silico, in vivo, and in vitro studies to gain insights into age-dependent changes in acute inflammation in response to bacterial endotoxin (LPS). Time-course cytokine, chemokine, and NO2-/NO3- data from "middle-aged" (6-8 months old) C57BL/
A Torres, AA Beharka, AK Schroder, C Franceschi, C Franceschi, C Nathan, CC Chow, CE Lagoa, CR Gomez, DC Morrison, DE Zak, Derek Barclay, Derya Unutmaz, DO Adams, E Alvarez, E Cevenini, EZ Bagci, EZ Bagci, F Aujard, F L’Episcopo, FM Ocasio, G Nieman, H Ochi, H Saito, H Wang, IR Turnbull, J Plowden, JM Cavaillon, JM Prince, John Bartels, K Tateda, KM Greeneltch, L Alvarez-Rodriguez, L Ferrucci, M Gurven, MA West, MJ Yang, R Kumar, R Ostan, RA Kohman, Rami A. Namas, RB Effros, RJ Fahy, RL Zhang, Rosemary Hoffman, Ruben Zamora, S Daun, S Gordon, SC Kang, SF Bradley, SN Zykova, T Inamizu, Timothy R. Billiar, TP Plackett, U Fagiolo, W Schumer, W Wiktor-Jedrzejczak, Y Hasegawa, Y Ito, Y Vodovotz, Y Vodovotz, Y Vodovotz, Yoram Vodovotz, Z Yang   +63 more
core   +11 more sources