Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction
Niraj Verma, Xingming Qu, Francesco Trozzi, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 3, pp. 1392-1392
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Diffusion models in bioinformatics and computational biology
Zhiye Guo, Jian Liu, Yanli Wang, et al.
Nature Reviews Bioengineering (2023) Vol. 2, Iss. 2, pp. 136-154
Open Access | Times Cited: 47
Artificial Intelligence Technologies for COVID-19 De Novo Drug Design
Giuseppe Floresta, Chiara Zagni, Davide Gentile, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 6, pp. 3261-3261
Open Access | Times Cited: 45
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 28
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 8
Generative adversarial networks for transition state geometry prediction
Małgorzata Z. Makoś, Niraj Verma, Eric C. Larson, et al.
The Journal of Chemical Physics (2021) Vol. 155, Iss. 2
Closed Access | Times Cited: 36
SANCDB: an update on South African natural compounds and their readily available analogs
Bakary N’tji Diallo, Michael Glenister, Thommas M. Musyoka, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 33
Screening S protein – ACE2 blockers from natural products: Strategies and advances in the discovery of potential inhibitors of COVID-19
Le-le Ma, Huimin Liu, Xuemei Liu, et al.
European Journal of Medicinal Chemistry (2021) Vol. 226, pp. 113857-113857
Open Access | Times Cited: 33
Role of artificial intelligence in early diagnosis and treatment of infectious diseases
Vartika Srivastava, Ravinder Kumar, Mohmmad Younus Wani, et al.
Infectious Diseases (2024), pp. 1-26
Closed Access | Times Cited: 5
MCN-CPI: Multiscale Convolutional Network for Compound–Protein Interaction Prediction
Shuang Wang, Mingjian Jiang, Shugang Zhang, et al.
Biomolecules (2021) Vol. 11, Iss. 8, pp. 1119-1119
Open Access | Times Cited: 31
The Transporter-Mediated Cellular Uptake and Efflux of Pharmaceutical Drugs and Biotechnology Products: How and Why Phospholipid Bilayer Transport Is Negligible in Real Biomembranes
Douglas B. Kell
Molecules (2021) Vol. 26, Iss. 18, pp. 5629-5629
Open Access | Times Cited: 28
A comparison of embedding aggregation strategies in drug–target interaction prediction
Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies
Seokhyun Moon, Wonho Zhung, Woo Youn Kim
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 4
DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes in virtual screening
Haiping Zhang, Tingting Zhang, Konda Mani Saravanan, et al.
Methods (2022) Vol. 205, pp. 247-262
Closed Access | Times Cited: 18
SmartCADD: AI-QM Empowered Drug Discovery Platform with Explainability
Ayesh Madushanka, Eli Laird, Corey Clark, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 17, pp. 6799-6813
Closed Access | Times Cited: 3
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug–protein interaction prediction
Ping Xuan, Mengsi Fan, Hui Cui, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 23
BEAR: A Novel Virtual Screening Method Based on Large-Scale Bioactivity Data
Yeajee Kwon, Sera Park, Jaeok Lee, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1429-1437
Closed Access | Times Cited: 7
Applications of AI in Drug Discovery
Kalpana Pravin Rahate, Ritam Mondal
Advances in medical technologies and clinical practice book series (2024), pp. 86-120
Closed Access | Times Cited: 2
GeNNius: an ultrafast drug–target interaction inference method based on graph neural networks
Uxía Veleiro, Jesús de la Fuente, Guillermo Serrano, et al.
Bioinformatics (2023) Vol. 40, Iss. 1
Open Access | Times Cited: 6
Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field
Jalil Villalobos-Alva, Luis Ochoa-Toledo, Mario Javier Villalobos-Alva, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 9
Exploring Artificial Intelligence in Drug Discovery: A Comprehensive Review
Rajneet Kaur Bijral, Inderpal Singh, Jatinder Manhas, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2513-2529
Closed Access | Times Cited: 9
Reinforcement Learning Based Approach for Ligand Pose Prediction
Justin Jose, Kritika Gupta, Ujjaini Alam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Deep Learning-Based Ligand Design Using Shared Latent Implicit Fingerprints from Collaborative Filtering
Raghuram Srinivas, Niraj Verma, Elfi Kraka, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 5, pp. 2159-2174
Open Access | Times Cited: 6
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 2
Allosteric control of ACE2 peptidase domain dynamics
Francesco Trozzi, Nischal Karki, Zilin Song, et al.
Organic & Biomolecular Chemistry (2022) Vol. 20, Iss. 17, pp. 3605-3618
Open Access | Times Cited: 3
Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity
Xinyuan Zhang, Xiaoli Lin, Jing Hu, et al.
Lecture notes in computer science (2022), pp. 517-532
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top