Results 241 to 250 of about 228,098 (300)

<i>In silico</i> prediction of loop-mediated isothermal amplification using a generalized linear model. [PDF]

Synth Biol (Oxf)
Taguchi K, Michiyuki S, Tsuji T, Kotoku J.   +3 more
europepmc   +1 more source

ToxGIN: an In silico prediction model for peptide toxicity via graph isomorphism networks integrating peptide sequence and structure information. [PDF]

Brief Bioinform
Yu Q, Zhang Z, Liu G, Li W, Tang Y.
europepmc   +1 more source

Identification of key lncRNAs associated with oxaliplatin resistance in colorectal cancer cells and isolated exosomes: From In-Silico prediction to In-Vitro validation. [PDF]

PLoS One
Sahebnasagh R, Deli H, Shadboorestan A, Vakili-Ghartavol Z, Salehi N, Komeili-Movahhed T, Azizi Z, Ghahremani MH.   +7 more
europepmc   +1 more source

In silico prediction of some pharmacokinetic, safety, biological activity and molecular docking studies of 1-piperazine indole hybrid with nicotinic amide and nicotinic acid and their analogues. [PDF]

SAGE Open Med
Mitku ML, Dagnaw AD, Geremew DT, Anagaw YK, Worku MC, Limenh LW, Tadesse YB, Ergena AE.   +7 more
europepmc   +1 more source

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In silico prediction of clinical efficacy

Current Opinion in Biotechnology, 2006
Drug development is a high risk and costly process, and the ability to predict clinical efficacy in silico (in a computer) can save the pharmaceutical industry time and resources. Additionally, such an approach will result in more targeted, personalized therapies.
Seth, Michelson, Anil, Sehgal, Christina, Friedrich   +2 more
openaire   +2 more sources

In SilicoPhysicochemical Parameter Predictions

Molecular Pharmaceutics, 2013
Drug discovery is a complex process with the aim of discovering efficacious molecules where their potency and selectivity are balanced against ADMET properties to set the appropriate dose and dosing interval. The link between physicochemical properties and molecular structure are well established.
Mark C, Wenlock, Patrick, Barton
openaire   +2 more sources

Predicting Drug Metabolism Induction In Silico

Current Topics in Medicinal Chemistry, 2006
The inducibility of drug-metabolizing enzymes and transporters by numerous xenobiotics has become a vital issue to be considered in the drug development process. Activation of so-called orphan nuclear receptors has been identified to result in increased expression of these detoxifying systems and consequently altered drug levels in the human body.
Daniela, Schuster, Theodora M, Steindl, Thierry, Langer   +2 more
openaire   +2 more sources

In Silico Prediction of Allergenic Proteins

2014
Currently, the prediction of new allergens is becoming important due to use of genetically modified (GM) foods and biopharmaceuticals. In this chapter, we describe how to use four popular allergenic prediction servers: (1) Structural Database of Allergenic Proteins (SDAP), (2) Allermatch, (3) Evaller 2, and (4) AlgPred. The first two prediction servers
Gaurab, Sircar, Bodhisattwa, Saha, Swati Gupta, Bhattacharya, Sudipto, Saha   +3 more
openaire   +2 more sources

In silico prediction of genotoxicity

Food and Chemical Toxicology, 2017
The in silico prediction of genotoxicity has made considerable progress during the last years. The main driver for the pharmaceutical industry is the ICH M7 guideline about the assessment of DNA reactive impurities. An important component of this guideline is the use of in silico models as an alternative approach to experimental testing.
openaire   +2 more sources

In Silico Prediction of Permeability Coefficients

2021
In silico simulations of biological systems are of the significant importance to obtain insights on specific processes that experimental protocols have difficulty to elucidate. More particularly, and to ensure that a given molecule is able to reach its cellular target, the development of computational methods able to quickly estimate the cellular ...
openaire   +2 more sources