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:
The Impact of Crystallographic Data for the Development of Machine Learning Models to Predict Protein-Ligand Binding Affinity
Martina Veit‐Acosta, Walter Filgueira de Azevedo
Current Medicinal Chemistry (2021) Vol. 28, Iss. 34, pp. 7006-7022
Closed Access | Times Cited: 15
Martina Veit‐Acosta, Walter Filgueira de Azevedo
Current Medicinal Chemistry (2021) Vol. 28, Iss. 34, pp. 7006-7022
Closed Access | Times Cited: 15
Showing 15 citing articles:
Machine-learning methods for ligand–protein molecular docking
Kévin Crampon, Alexis Giorkallos, Myrtille Deldossi, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 1, pp. 151-164
Open Access | Times Cited: 215
Kévin Crampon, Alexis Giorkallos, Myrtille Deldossi, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 1, pp. 151-164
Open Access | Times Cited: 215
Comparison of new secondgeneration H1 receptor blockers with some molecules; a study involving DFT, molecular docking, ADMET, biological target and activity
Velid Ünsal, Erkan Öner, Reşit Yıldız, et al.
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Velid Ünsal, Erkan Öner, Reşit Yıldız, et al.
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
An insight into in silico strategies used for exploration of medicinal utilty and toxicology of Nanomaterials
Tahmeena Khan
Computational Biology and Chemistry (2025), pp. 108435-108435
Closed Access
Tahmeena Khan
Computational Biology and Chemistry (2025), pp. 108435-108435
Closed Access
PlDBPred: a novel computational model for discovery of DNA binding proteins in plants
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 17
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 17
Designing drugs when there is low data availability: one-shot learning and other approaches to face the issues of a long-term concern
Gabriel Corrêa Veríssimo, Mateus Sá Magalhães Serafim, Thales Kronenberger, et al.
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 9, pp. 929-947
Closed Access | Times Cited: 14
Gabriel Corrêa Veríssimo, Mateus Sá Magalhães Serafim, Thales Kronenberger, et al.
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 9, pp. 929-947
Closed Access | Times Cited: 14
Artificial intelligence-driven prediction of multiple drug interactions
Siqi Chen, Tiancheng Li, Luna Yang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 14
Siqi Chen, Tiancheng Li, Luna Yang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 14
Towards a General Intermolecular Binding Affinity Calculator
Wei Li
(2022)
Open Access | Times Cited: 10
Wei Li
(2022)
Open Access | Times Cited: 10
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 363-372
Closed Access | Times Cited: 4
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 363-372
Closed Access | Times Cited: 4
Walter Filgueira de Azevedo, Rodrigo Quiroga, Marcos A. Villarreal, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 27, pp. 2333-2346
Closed Access | Times Cited: 1
Computational Prediction of Binding Affinity for CDK2-ligand Complexes. A Protein Target for Cancer Drug Discovery
Martina Veit‐Acosta, Walter Filgueira de Azevedo
Current Medicinal Chemistry (2021) Vol. 29, Iss. 14, pp. 2438-2455
Open Access | Times Cited: 9
Martina Veit‐Acosta, Walter Filgueira de Azevedo
Current Medicinal Chemistry (2021) Vol. 29, Iss. 14, pp. 2438-2455
Open Access | Times Cited: 9
Application of Machine Learning Techniques for Drug Discovery
Walter Filgueira de Azevedo
Current Medicinal Chemistry (2021) Vol. 28, Iss. 38, pp. 7805-7807
Closed Access | Times Cited: 8
Walter Filgueira de Azevedo
Current Medicinal Chemistry (2021) Vol. 28, Iss. 38, pp. 7805-7807
Closed Access | Times Cited: 8
Evaluation of Molecular Docking by Deep Learning and Random Forests: A Hybrid Approach Based on Pseudo-Convolutions
Janderson Romário Borges da Cruz Ferreira, Allan R. S. Feitosa, Juliana Carneiro Gomes, et al.
(2024)
Open Access
Janderson Romário Borges da Cruz Ferreira, Allan R. S. Feitosa, Juliana Carneiro Gomes, et al.
(2024)
Open Access
DTBAPred: Improved Prediction Drug-Target Binding Affinity using Machine Learning Approach
Mohamed M. Hussein, Saleh Musleh, Hamada R. H. Al-Absi, et al.
(2023)
Closed Access
Mohamed M. Hussein, Saleh Musleh, Hamada R. H. Al-Absi, et al.
(2023)
Closed Access
Evaluation of molecular docking by deep learning and Random Forests: A hybrid approach based on pseudo-convolutions
Janderson Romário Borges Cruz Ferreira, Allan R. S. Feitosa, Juliana Carneiro Gomes, et al.
Research Square (Research Square) (2023)
Open Access
Janderson Romário Borges Cruz Ferreira, Allan R. S. Feitosa, Juliana Carneiro Gomes, et al.
Research Square (Research Square) (2023)
Open Access
Protein-Ligand Interactions: High-Resolution Structures of CDK2
Walter Filgueira de Azevedo
Current Drug Targets (2021) Vol. 23, Iss. 5, pp. 438-440
Closed Access
Walter Filgueira de Azevedo
Current Drug Targets (2021) Vol. 23, Iss. 5, pp. 438-440
Closed Access
