Showing 1 - 9 results of 9 for search 'different acidic algorithm', query time: 0.03s Refine Results
  1. 1
    Structural alignment. (c2006)

    Structural alignment. (c2006) by Kazma, Layal

    Published 2006
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  2. 2
    Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008)

    Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008) by Kanj, Fatima Hassan

    Published 2008
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  3. 3
    Protein structure prediction in the 3D HP model

    Protein structure prediction in the 3D HP model by Abu-Khzam, Faisal

    Published 2009
    “…To test our algorithm, we use two sets of benchmark sequences of different lengths. …”
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  4. 4
    Particle swarm optimization approach for protein structure prediction in the 3D HP model

    Particle swarm optimization approach for protein structure prediction in the 3D HP model by Mansour, Nashat

    Published 2012
    “…To test our algorithm, we used two sets of benchmark sequences of different lengths and compared our results to published results. …”
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  5. 5
    Computational evluation of protein energy functions

    Computational evluation of protein energy functions by Mansour, Nashat

    Published 2014
    “…Also, we propose an approach based on a simulated annealing algorithm to find a better combination of energy terms, by assigning different weights to the terms, for the purpose of improving the capability of the computational prediction methods.…”
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  6. 6
    Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine

    Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Shomope, Ibrahim

    Published 2024
    “…Methods: Liposomes loaded with calcein and targeted with seven different moieties (cRGD, estrone, folate, Herceptin, hyaluronic acid, lactobionic acid, and transferrin) were synthesized using the thin-film hydration method. …”
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  7. 7
    Harnessing Qatar Biobank to understand type 2 diabetes and obesity in adult Qataris from the First Qatar Biobank Project

    Harnessing Qatar Biobank to understand type 2 diabetes and obesity in adult Qataris from the First Qatar Biobank Project by Ehsan Ullah (2698921)

    Published 2018
    “…</p><h3>Results</h3><p dir="ltr">Regarding diabetes, we identified pronounced associations and risk factors in Qatari population including magnesium, chloride, c-peptide of insulin, insulin, and uric acid. Similarly, for obesity, significant associations and risk factors include insulin, c-peptide of insulin, albumin, and uric acid. …”
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  8. 8
    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

    Published 2025
    “…By employing silver nanorod-based array substrates, surface-enhanced Raman scattering (SERS) spectra were obtained for two separate datasets: Eleven endotoxins produced by bacteria, each having an 8.75 pg average detection quantity per measurement, and three controls chitin, lipoteichoic acid (LTA), bacterial peptidoglycan (PGN), because their structures differ greatly from those of LPS. …”
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  9. 9
    Protein glycation – biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine

    Protein glycation – biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine by Naila, Rabbani

    Published 2021
    “…Development of diagnostic algorithms by artificial intelligence machine learning is enhancing the applications of glycation biomarkers. …”
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