OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 95
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 95
Showing 51-75 of 95 citing articles:
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening
Michela Proietti, Alessio Ragno, Biagio La Rosa, et al.
Machine Learning (2023) Vol. 113, Iss. 4, pp. 2013-2044
Open Access | Times Cited: 4
Michela Proietti, Alessio Ragno, Biagio La Rosa, et al.
Machine Learning (2023) Vol. 113, Iss. 4, pp. 2013-2044
Open Access | Times Cited: 4
BioGNN: How Graph Neural Networks Can Solve Biological Problems
Pietro Bongini, Niccolò Pancino, Franco Scarselli, et al.
Intelligent systems reference library (2022), pp. 211-231
Closed Access | Times Cited: 7
Pietro Bongini, Niccolò Pancino, Franco Scarselli, et al.
Intelligent systems reference library (2022), pp. 211-231
Closed Access | Times Cited: 7
Predicting Potent Compounds Using a Conditional Variational Autoencoder Based upon a New Structure–Potency Fingerprint
Tiago Janela, Kosuke Takeuchi, Jürgen Bajorath
Biomolecules (2023) Vol. 13, Iss. 2, pp. 393-393
Open Access | Times Cited: 3
Tiago Janela, Kosuke Takeuchi, Jürgen Bajorath
Biomolecules (2023) Vol. 13, Iss. 2, pp. 393-393
Open Access | Times Cited: 3
Advancing Drug Discovery with Deep Learning: Harnessing Reinforcement Learning and One-Shot Learning for Molecular Design in Low-Data Situations
Liang Dong, Yuchen Qian, Paulina Gonzalez, et al.
ACM SIGAPP Applied Computing Review (2023) Vol. 23, Iss. 1, pp. 36-48
Closed Access | Times Cited: 3
Liang Dong, Yuchen Qian, Paulina Gonzalez, et al.
ACM SIGAPP Applied Computing Review (2023) Vol. 23, Iss. 1, pp. 36-48
Closed Access | Times Cited: 3
DTIP-TC2A: An analytical framework for drug-target interactions prediction methods
Mohammad Reza Keyvanpour, Faraneh Haddadi, Soheila Mehrmolaei
Computational Biology and Chemistry (2022) Vol. 99, pp. 107707-107707
Closed Access | Times Cited: 6
Mohammad Reza Keyvanpour, Faraneh Haddadi, Soheila Mehrmolaei
Computational Biology and Chemistry (2022) Vol. 99, pp. 107707-107707
Closed Access | Times Cited: 6
Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph-of-Graphs Domain
Niccolò Pancino, Yohann Perron, Pietro Bongini, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4550-4550
Open Access | Times Cited: 5
Niccolò Pancino, Yohann Perron, Pietro Bongini, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4550-4550
Open Access | Times Cited: 5
Computer Simulation for Effective Pharmaceutical Kinetics and Dynamics: A Review
Gaurav Tiwari, Anuja Shukla, Anju Singh, et al.
Current Computer - Aided Drug Design (2023) Vol. 20, Iss. 4, pp. 325-340
Closed Access | Times Cited: 2
Gaurav Tiwari, Anuja Shukla, Anju Singh, et al.
Current Computer - Aided Drug Design (2023) Vol. 20, Iss. 4, pp. 325-340
Closed Access | Times Cited: 2
Unsupervised deep learning for molecular dynamics simulations: a novel analysis of protein–ligand interactions in SARS-CoV-2 Mpro
Jessica Mustali, Ikki Yasuda, Yoshinori Hirano, et al.
RSC Advances (2023) Vol. 13, Iss. 48, pp. 34249-34261
Open Access | Times Cited: 2
Jessica Mustali, Ikki Yasuda, Yoshinori Hirano, et al.
RSC Advances (2023) Vol. 13, Iss. 48, pp. 34249-34261
Open Access | Times Cited: 2
Graph Neural Networks for Drug Discovery: An Integrated Decision Support Pipeline
Pietro Bongini
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 218-223
Closed Access | Times Cited: 2
Pietro Bongini
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 218-223
Closed Access | Times Cited: 2
Probing Allosteric Hsp70 Inhibitors by Molecular Modelling Studies to Expedite the Development of Novel Combined F508del CFTR Modulators
Roberto Sabbadini, Emanuela Pesce, Alice Parodi, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 12, pp. 1296-1296
Open Access | Times Cited: 6
Roberto Sabbadini, Emanuela Pesce, Alice Parodi, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 12, pp. 1296-1296
Open Access | Times Cited: 6
Factors Determining Plasticity of Responses to Drugs
Michael J. Parnham, Jennifer Kricker
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 4, pp. 2068-2068
Open Access | Times Cited: 4
Michael J. Parnham, Jennifer Kricker
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 4, pp. 2068-2068
Open Access | Times Cited: 4
Autonomous Diagnosis System of Breast Cancer
Minjun Son, Woomin Jun, Sung‐Jin Lee
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-6
Closed Access
Minjun Son, Woomin Jun, Sung‐Jin Lee
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-6
Closed Access
AI: Catalyst for Drug Discovery and Development
Khushbu Nailwal, Sumit Durgapal, Khushboo Dasauni, et al.
(2024), pp. 387-411
Closed Access
Khushbu Nailwal, Sumit Durgapal, Khushboo Dasauni, et al.
(2024), pp. 387-411
Closed Access
An Innovative Exploration of Deep Learning for Pesticide and Veterinary Drug Development: A Molecular Generative Model Based on Scaffold Structure Mha-Rnn
Huandi Zhou, Cheng Man, Hongbo Yuan
(2024)
Closed Access
Huandi Zhou, Cheng Man, Hongbo Yuan
(2024)
Closed Access
Analisis Model Discovery Learning Pada Mata Pelajaran Matematika Kelas V Di Sdk Mataia
Maria Magdalena Dhera Lena Magda, Melkior Wewe, Edeltrudis Ti'a
Jurnal Pendidikan Guru Sekolah Dasar (2024) Vol. 1, Iss. 4, pp. 10-10
Open Access
Maria Magdalena Dhera Lena Magda, Melkior Wewe, Edeltrudis Ti'a
Jurnal Pendidikan Guru Sekolah Dasar (2024) Vol. 1, Iss. 4, pp. 10-10
Open Access
Drug–Target Interactions Prediction at Scale: The Komet Algorithm with the LCIdb Dataset
Gwenn Guichaoua, Philippe Pinel, Brice Hoffmann, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 6938-6956
Open Access
Gwenn Guichaoua, Philippe Pinel, Brice Hoffmann, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 6938-6956
Open Access
XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework
Geonhee Ahn, Md Mahim Anjum Haque, Subhashis Hazarika, et al.
(2024) Vol. 22, pp. 5164-5168
Closed Access
Geonhee Ahn, Md Mahim Anjum Haque, Subhashis Hazarika, et al.
(2024) Vol. 22, pp. 5164-5168
Closed Access
Designing an adaptive learning framework for predicting drug-target affinity using reinforcement learning and graph neural networks
Jun Ma, Zhili Zhao, Yunwu Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109472-109472
Closed Access
Jun Ma, Zhili Zhao, Yunwu Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109472-109472
Closed Access
Deep Learning-based Classification Model using SMOTE Resampling Technique to Identify Potent Inhibitors of Lethal Factor of Anthrax and Principal Component, Chemical Space Analysis
Madhulata Kumari, Mohd Asif Shah, Saurav Mallik, et al.
Research Square (Research Square) (2024)
Open Access
Madhulata Kumari, Mohd Asif Shah, Saurav Mallik, et al.
Research Square (Research Square) (2024)
Open Access
Improved Prediction of Ligand–Protein Binding Affinities by Meta-modeling
Ho‐Joon Lee, Prashant S. Emani, Mark Gerstein
Journal of Chemical Information and Modeling (2024)
Open Access
Ho‐Joon Lee, Prashant S. Emani, Mark Gerstein
Journal of Chemical Information and Modeling (2024)
Open Access
NeuraGED: A GNN estimation for Graph–Edit Distance
Sara Bacconi, Filippo Costanti, Monica Bianchini, et al.
Procedia Computer Science (2024) Vol. 246, pp. 4186-4193
Open Access
Sara Bacconi, Filippo Costanti, Monica Bianchini, et al.
Procedia Computer Science (2024) Vol. 246, pp. 4186-4193
Open Access
The role of deep learning in drug discovery
Ahmad Ahmad, Ahmed A. Mohamed
Elsevier eBooks (2024), pp. 309-326
Closed Access
Ahmad Ahmad, Ahmed A. Mohamed
Elsevier eBooks (2024), pp. 309-326
Closed Access
Gated Recurrent Unit with Attention Mechanism for IC50 Prediction Model Using Amyotrophic Lateral Sclerosis Related Proteins
S Devipriya, Vijaya MS
Lecture notes in electrical engineering (2024), pp. 41-55
Closed Access
S Devipriya, Vijaya MS
Lecture notes in electrical engineering (2024), pp. 41-55
Closed Access
Improving Molecular De Novo Drug Design with Transformers
Dhaval Soni, Gaminee Ram, H. Shaikh, et al.
(2024)
Open Access
Dhaval Soni, Gaminee Ram, H. Shaikh, et al.
(2024)
Open Access
Artificial Intelligence: From Drug Discovery to Clinical Pharmacology
Paola Lecca
(2024), pp. 253-271
Closed Access
Paola Lecca
(2024), pp. 253-271
Closed Access
