بدائل البحث:
binding algorithm » finding algorithm (توسيع البحث), finding algorithms (توسيع البحث), mining algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
based binding » based funding (توسيع البحث), ace2 binding (توسيع البحث), acid binding (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
binding algorithm » finding algorithm (توسيع البحث), finding algorithms (توسيع البحث), mining algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
based binding » based funding (توسيع البحث), ace2 binding (توسيع البحث), acid binding (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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961
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962
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963
Data Sheet 2_Impact of climate change on the potential global prevalence of Macrophomina phaseolina (Tassi) Goid. under several climatological scenarios.csv
منشور في 2025"…Maximum Entropy (MaxEnt) model was used to predict the spatial distribution of this fungus throughout the world while algorithms of DIVA-GIS were chosen to confirm the predicted model.…"
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964
Data Sheet 1_Impact of climate change on the potential global prevalence of Macrophomina phaseolina (Tassi) Goid. under several climatological scenarios.zip
منشور في 2025"…Maximum Entropy (MaxEnt) model was used to predict the spatial distribution of this fungus throughout the world while algorithms of DIVA-GIS were chosen to confirm the predicted model.…"
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965
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966
The CeTI-Age-Kinematics dataset: A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults
منشور في 2025"…</p><p dir="ltr">Detailed information, visualizations of the dataset content, and explanations of algorithmic approaches are available in the linked supplements, such as in the data descriptor and supplementary information accessible here: <i>Pogrzeba, L., Muschter, E., Hanisch, S. et al. (2025). …"
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967
Prediction of Activity and Selectivity Profiles of Sigma Receptor Ligands Using Machine Learning Approaches
منشور في 2025"…Although S1R and S2R exhibit structural differences in receptor architecture and assembly, they share similar binding site features and ligand recognition mechanisms. …"
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968
Robust Multi-Model Subset Selection
منشور في 2025"…The <a href="https://doi.org/10.1080/10618600.2025.2596057" target="_blank">supplementary material</a> contains all theoretical proofs, additional algorithmic and computational details, and the code and data to reproduce our numerical results.…"
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969
Dose-response curves of compounds on MCF7 cells.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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970
Heatmap of drug-likeness and PAINS evaluation.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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971
Rg over time.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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972
Results of consensus molecular docking after RbR.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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973
S1 Graphical abstract -
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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974
3D and 2D interaction between CDK4/6-CMNPD2744.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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975
3D and 2D interaction between CDK4/6-CMNPD11585.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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976
Results of consensus molecular docking.
منشور في 2025"…We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. …"
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977
Data Sheet 1_Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods.docx
منشور في 2025"…Introduction<p>MicroRNAs (miRNAs) regulate gene expression and play an important role in carcinogenesis through complex interactions with messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). Despite their established influence on tumor progression and therapeutic resistance, the application of miRNA interaction networks for tumor tissue-of-origin (TOO) classification remains underexplored.…"
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978
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979
Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems": 2nd...
منشور في 2025"…Bright et al. (2019: https://doi.org/10.2737/RDS-2019-0015-2) contains previous field attribute data for most of the Oregon plots. Also included is R code that can merge these data with Hudak (2010, 2013) and Bright et al. (2019: https://doi.org/10.2737/RDS-2019-0015-2).…"
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980