يعرض 1 - 20 نتائج من 883 نتيجة بحث عن '(( algorithm fc function ) OR ( algorithm ((python function) OR (protein function)) ))*', وقت الاستعلام: 0.48s تنقيح النتائج
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    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

    منشور في 2025
    "…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"
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    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

    منشور في 2025
    "…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"
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    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

    منشور في 2025
    "…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"
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    DataSheet1_The evolution of flexibility and function in the Fc domains of IgM, IgY, and IgE.pdf حسب Rosaleen A. Calvert (10039787)

    منشور في 2024
    "…</p>Results and discussion<p>We analysed the scattering curves in terms of contributions from a pool of variously bent models chosen by a non-negative linear least-squares algorithm and found that the four proteins form a series in which the proportion of acutely bent material increases: IgM-Fc < IgY-Fc < plIgE-Fc < huIgE-Fc. …"
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    Reward function related parameters. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
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