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Results for
""Neural Networks, Computer""[mesh_terms]

489 Results

Searching titles within these results

Multi-instance learning of graph neural networks for aqueous pKa prediction.

Kaixian Chen, Mingyue Zheng, Hualiang Jiang, Xiaohong Liu, Ziming Huang, Xiaomeng Liu, Tingyang Xu, Feisheng Zhong, Zunyun Fu, Guangchao Wang, Zhaojun Li, Jiacheng Xiong

Bioinformatics (Oxford, England) 2023;38(3):792-798

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Assessing the persistence of chalcogen bonds in solution with neural network potentials.

Veronika Jurásková, Frederic Célerse, Ruben Laplaza, Clemence Corminboeuf

The Journal of chemical physics 2022;156(15):154112

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Graph Neural Network for Protein-Protein Interaction Prediction: A Comparative Study.

Binbin Zhou, Zengwei Zheng, Jiayun Jin, Weikun Wang, Hang Zhou

Molecules (Basel, Switzerland) 2022;27(18):6135

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MMSG-DTA: A Multimodal, Multiscale Model Based on Sequence and Graph Modalities for Drug-Target Affinity Prediction.

Jiahao Xu, Guanhua Zhang, Shixin Ye-Lehmann, Bo Zhu, Wei Long, Lei Ci, Linhua Jiang

Journal of chemical information and modeling 2025;65(2):981-996

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GraphCPP: The new state-of-the-art method for cell-penetrating peptide prediction via graph neural networks.

Balázs Balogh, István Mándity, Attila Imre

British journal of pharmacology 2025;182(3):495-509

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Modeling azo dye removal by sono-fenton processes using response surface methodology and artificial neural network approaches.

Emine Baştürk, Alper Alver

Journal of environmental management 2019;248():109300

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Modeling heterogeneity, commitment, and memory of bacterial spore germination.

Steven Mednick, William Li, Peter Setlow, Yong-Qing Li

mBio 2025;16(5):e0059625

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Deep hybrid modeling of a HEK293 process: Combining long short-term memory networks with first principles equations.

Patrick Dumas, Ludovic Peeters, Gil Poiares-Oliveira, José Pinto, João R C Ramos, Rui Oliveira

Biotechnology and bioengineering 2024;121(5):1554-1568

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DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism.

Guohua Huang, Jiale Mao, Xin Liu, Wen Liao, Jialiang Yang, Geng Tian, Guosheng Han, Lihong Peng

Journal of chemical information and modeling 2025;65(3):1318-1337

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SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation.

Yashas B L Samaga, Shampa Raghunathan, U Deva Priyakumar

The journal of physical chemistry. B 2021;125(38):10657-10671

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Prediction of biosorption efficiency for the removal of copper(II) using artificial neural networks.

N Prakash, S A Manikandan, L Govindarajan, V Vijayagopal

Journal of hazardous materials 2008;152(3):1268-75

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Analysis of Network Models with Neuron-Astrocyte Interactions.

Marja-Leena Linne, Jugoslava Aćimović, Tiina Manninen

Neuroinformatics 2023;21(2):375-406

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Skeleton-Based Intake Gesture Detection With Spatial-Temporal Graph Convolutional Networks.

Chunzhuo Wang, Zhewen Xue, T Sunil Kumar, Guido Camps, Hans Hallez, Bart Vanrumste

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2025;2025():1-6

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DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion.

Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu

IEEE/ACM transactions on computational biology and bioinformatics 2022;19(4):2177-2187

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Prediction of fermentation index of cocoa beans (Theobroma cacao L.) based on color measurement and artificial neural networks.

Noemí León-Roque, Mohamed Abderrahim, Luis Nuñez-Alejos, Silvia M Arribas, Luis Condezo-Hoyos

Talanta 2018;161():31-39

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Results: 1 – 15 / 489

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Results for ""Neural Networks, Computer""[mesh_terms]

Multi-instance learning of graph neural networks for aqueous pKa prediction.

Assessing the persistence of chalcogen bonds in solution with neural network potentials.

Graph Neural Network for Protein-Protein Interaction Prediction: A Comparative Study.

MMSG-DTA: A Multimodal, Multiscale Model Based on Sequence and Graph Modalities for Drug-Target Affinity Prediction.

GraphCPP: The new state-of-the-art method for cell-penetrating peptide prediction via graph neural networks.

Modeling azo dye removal by sono-fenton processes using response surface methodology and artificial neural network approaches.

Modeling heterogeneity, commitment, and memory of bacterial spore germination.

Deep hybrid modeling of a HEK293 process: Combining long short-term memory networks with first principles equations.

DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism.

SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation.

Prediction of biosorption efficiency for the removal of copper(II) using artificial neural networks.

Analysis of Network Models with Neuron-Astrocyte Interactions.

Skeleton-Based Intake Gesture Detection With Spatial-Temporal Graph Convolutional Networks.

DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion.

Prediction of fermentation index of cocoa beans (Theobroma cacao L.) based on color measurement and artificial neural networks.

Results for
""Neural Networks, Computer""[mesh_terms]