Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning. [PDF]
BMC BiolLi P, Shao B, Zhao G, Liu ZP.
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Editorial: Application of emerging technologies in the diagnosis and treatment of patients with brain tumors: new frontiers in imaging for neuro-oncology. [PDF]
Front OncolAquino D, De Martin E, Russo C.
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Band Gap and Reorganization Energy Prediction of Conducting Polymers by the Integration of Machine Learning and Density Functional Theory. [PDF]
J Chem Inf ModelHaciefendioglu T, Yildirim E.
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Multiparametric radiomics signature for predicting molecular genotypes in adult-type diffuse gliomas utilizing <sup>18</sup>F-FET PET/MRI. [PDF]
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening. [PDF]
Comput Struct Biotechnol JWang B, Junaid M, Li W.
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Novel Antimicrobials from Computational Modelling and Drug Repositioning: Potential <i>In Silico</i> Strategies to Increase Therapeutic Arsenal Against Antimicrobial Resistance. [PDF]
MoleculesTarín-Pelló A +3 more
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Simulation of Aging and Bonding Properties of the Matrix/Filler Interface in Particle-Reinforced Composites. [PDF]
Polymers (Basel)Chen Z, Wang X, Zou Z, Qiang H, Fu X.
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Simulation of the Thermodynamic Properties and Hydrophobicity of Polydimethylsiloxane Modified by Grafting Nano-SiO<sub>2</sub> with Different Silane Coupling Agents. [PDF]
Materials (Basel)Xie Y, Dai W, Yan J, Wang Z, Tang C.
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Accurate and efficient machine learning interatomic potentials for finite temperature modelling of molecular crystals. [PDF]
Chem SciDella Pia F +5 more
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Beyond symptomatic alignment: evaluating the integration of causal mechanisms in matching animal models with human pathotypes in osteoarthritis research. [PDF]
Arthritis Res TherReihs E +7 more
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