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Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments
Research article (Amino Acids, 2017) · cited 11× · AI/ML
Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments
Summary
Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments is a scholarly article[1].
Key Facts
Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-g-protein-coupled-receptors-based-on-a-rich-generation-of-convolutional-neural-network-n-gram-transfor
MLA“Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-g-protein-coupled-receptors-based-on-a-rich-generation-of-convolutional-neural-network-n-gram-transfor.
BibTeX@misc{4ortxyz_classification-of-g-protein-coupled-receptors-based-on-a-rich-generation-of-convolutional-neural-network-n-gram-transfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-g-protein-coupled-receptors-based-on-a-rich-generation-of-convolutional-neural-network-n-gram-transfor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments — https://4ort.xyz/entity/classification-of-g-protein-coupled-receptors-based-on-a-rich-generation-of-convolutional-neural-network-n-gram-transfor (retrieved 2026-05-24)
