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In order to save the time for choosing the most promising IL candidates from the experiment, we suggest simple theoretical protocols to predict the CO2 absorption behaviour of ionic liquids [1].
Models based on GIS (geographic information system) variables related to traffic, land use, population density, altitude, and regional background pollution were developed using common ESCAPE protocols to predict measured air pollution concentrations.
We previously developed protocols to predict candidate genes for complex diseases by reanalysing GWAS data using the Gentrepid candidate gene prediction tool as the biological knowledgebase, starting with data from a series of four lower statistical thresholds (p ≤ 5 × 10-7, p ≤ 10-5, p ≤ 10-4, p ≤ 10-3) [ 14].
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Vinod and Lixin[15] proposed a prediction-based routing protocol to predict route lifetimes to preemptively create new routes before existing ones fail in VANET.
Dye stability tests were also performed after fabric washing using hospital washing protocol to predict the durability of the functionalizations.
This study investigates a theoretical protocol to predict the maximum stress induced in the stem by the ISO experimental test set-up.
We tested the ability of an international Weed Risk Assessment (WRA) protocol to predict invasion status of 230 alien plant species introduced via a botanical garden to tropical rainforest in Tanzania.
The objectives of this research were to 1) determine what effect culverts had on the genetics of Brook Trout populations, 2) evaluate the ability of the NAACC culvert assessment protocol to predict genetic patterns and 3) identify the culvert characteristics that best explained genetic variability.
Due to limited experimental data for model validation, we developed and applied a three-tiered docking protocol to predict potential HLA-B*57 01 HLA-B*57 01ounds from DrugBank.
Bordner and Abagyan utilized a Biased-Probability Monte Carlo docking protocol to predict peptide:MHC binding [5].
We demonstrate the utility of such a structural similarity-based protocol to predict biologically feasible protein protein interactions across P. falciparum and host erythrocytes.
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