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algorithm protein » algorithm within (Expand Search), algorithm pre (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm which » algorithm within (Expand Search)
python function » protein function (Expand Search)
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 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
Published 2025“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”
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Explained variance ration of the PCA algorithm.
Published 2025“…We developed a mechanism which converts a given medical image to a spectral space which have a base set composed of special functions. …”
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PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP.
Published 2025Subjects: -
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PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.
Published 2025Subjects: -
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NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides
Published 2025“…Leveraging the sequences within the flavodoxin-like subdomain, we developed a substrate specificity prediction algorithm using a protein language model, achieving 92% overall prediction accuracy for 43 frequently observed amino acids, significantly improving the prediction reliability. …”
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A framework for improving localisation prediction algorithms.
Published 2024“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”
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Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes
Published 2025“…</p><p dir="ltr"><br>Functionally important "fold-switching" proteins, which do not obey the classical folding dogma, are now thought to be widespread. …”
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PATH has state-of-the-art performance versus previous binding affinity prediction algorithms.
Published 2025Subjects: -
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Core genes were selected through PPI analysis based on three algorithms.
Published 2024“…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. <b>(A)</b> The top 10 genes were prioritized using MCC analysis, which identifies the largest clique within the PPI network and selects the central proteins within the clique. …”
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
Published 2025“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz
Published 2025Subjects: -
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