Results 251 to 260 of about 114,349,436 (308)

In Silico Prediction of Alkaline Phosphatase Interaction with the Natural Inhibitory 5-Azaindoles Guitarrin C and D. [PDF]

Molecules
Seitkalieva A, Noskova Y, Isaeva M, Guzii A, Makarieva TN, Fedorov S, Balabanova L.   +6 more
europepmc   +1 more source

A Novel Workflow for In Silico Prediction of Bioactive Peptides: An Exploration of <i>Solanum lycopersicum</i> By-Products. [PDF]

Biomolecules
Morena F, Cencini C, Calzoni E, Martino S, Emiliani C.   +4 more
europepmc   +1 more source

Blood-based biomarkers for early frailty are sex-specific: validation of a combined in silico prediction and data-driven approach. [PDF]

Geroscience
de Jong JCBC, Caspers MPM, Dulos R, Snabel J, van der Hoek MD, van der Leij FR, Kleemann R, Keijer J, Nieuwenhuizen AG, van den Hoek AM, Verschuren L.   +10 more
europepmc   +1 more source

In-silico prediction of dislodgeable foliar residues and regulatory implications for plant protection products. [PDF]

J Expo Sci Environ Epidemiol
Shi Y, Choudhury K, Sopko X, Adham S, Chikwana E.   +4 more
europepmc   +1 more source

In silico prediction of differentially expressed genes and functionally grouped networks in patients with inflamed pulp for screening pulpitis biomarkers. [PDF]

Eur Oral Res
Asadzadeh A, Shams Moattar F, Moshfegh A.   +2 more
europepmc   +1 more source

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Survey of In-silico Prediction of Anticancer Peptides

Current Topics in Medicinal Chemistry, 2021
Cancer is one of the major causes of death in human beings. While traditional cancer treatments kill cancerous cells, they negatively affect normal cells. In addition, the side effects and high medical costs of treatment prevent effective management of cancer.
Nan Ye
exaly   +3 more sources

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 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 for ncRNAs in Prokaryotes

2021
The identification and characterization of non-coding RNAs (ncRNAs) in prokaryotes is an important step in the study of the interaction of these molecules with mRNAs-or target proteins, in the post-transcriptional regulation process. Here, we describe one of the main in silico prediction methods in prokaryotes, using the TargetRNA2 tool to predict ...
openaire   +2 more sources