A Variational Autoencoder—General Adversarial Networks (VAE-GAN) Based Model for Ligand Designing

K. Mukesh; Srisurya Ippatapu Venkata; Chereddy Spandana; E. Anbazhagan; I R Oviya

doi:10.1007/978-981-19-2821-5_64

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A Variational Autoencoder—General Adversarial Networks (VAE-GAN) Based Model for Ligand Designing

K. Mukesh Srisurya Ippatapu Venkata Chereddy Spandana E. Anbazhagan I R Oviya

Year: 2022 Lecture notes in networks and systems Pages: 761-768 Publisher: Springer International Publishing

DOI: 10.1007/978-981-19-2821-5_64

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Keywords:

Autoencoder Computer science Artificial intelligence Deep learning Drug repositioning Benchmark (surveying) Machine learning Artificial neural network Drug Biology

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Protein Structure and Dynamics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

A Variational Autoencoder—General Adversarial Networks (VAE-GAN) Based Model for Ligand Designing

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