Multi-objective de novo Drug Design using Bidirectional Recurrent Neural Networks and Nondominated Sorting-Reference-Cited by-同舟云学术

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Multi-objective de novo Drug Design using Bidirectional Recurrent Neural Networks and Nondominated Sorting

Published:2024-05-17 Issue: Volume:36 Page:1-4
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
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Author:

Dineshkumar R.¹,Sunil Kumar V²,Reddy R. Archana³,Shnain Ammar Hameed⁴,Sachinkumar ⁵

Affiliation:

1. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of ECE,Chennai,India

2. Nitte Meenakshi Institute of Technology,Department of AIML,Bengaluru,India

3. SR University,School of Computer Science and Engineering,Warangal,Telangana,India

4. The Islamic university,College of Technical Engineering,Department of Computers Techniques Engineering,Najaf,Iraq

5. Navodaya Institute of Technology,Department of CSE,Raichur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594595.pdf?arnumber=10594595

Reference11 articles.

1. The Impact of Adversarial Attacks on Federated Learning: A Survey

2. De novo Drug Design using Reinforcement Learning with Multiple GPT Agents;Hu;Advances in Neural Information Processing Systems,2024

3. GENERA: A Combined Genetic/Deep-Learning Algorithm for Multiobjective Target-Oriented De Novo Design

4. Deep generative models for ligand‐based de novo design applied to multi‐parametric optimization

5. An In Silico Explainable Multiparameter Optimization Approach for De Novo Drug Design against Proteins from the Central Nervous System

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