
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:
Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges
Isabella Alvim Guedes, Felipe Siconha S. Pereira, Laurent E. Dardenne
Frontiers in Pharmacology (2018) Vol. 9
Open Access | Times Cited: 259
Isabella Alvim Guedes, Felipe Siconha S. Pereira, Laurent E. Dardenne
Frontiers in Pharmacology (2018) Vol. 9
Open Access | Times Cited: 259
Showing 1-25 of 259 citing articles:
Molecular Docking: Shifting Paradigms in Drug Discovery
Luca Pinzi, Giulio Rastelli
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 18, pp. 4331-4331
Open Access | Times Cited: 1616
Luca Pinzi, Giulio Rastelli
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 18, pp. 4331-4331
Open Access | Times Cited: 1616
A Structure-Based Drug Discovery Paradigm
Maria Batool, Sheikh Bilal Ahmad, Sangdun Choi
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 11, pp. 2783-2783
Open Access | Times Cited: 575
Maria Batool, Sheikh Bilal Ahmad, Sangdun Choi
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 11, pp. 2783-2783
Open Access | Times Cited: 575
Advancing Drug Discovery via Artificial Intelligence
H. C. Stephen Chan, Hanbin Shan, Thamani Dahoun, et al.
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 8, pp. 592-604
Closed Access | Times Cited: 490
H. C. Stephen Chan, Hanbin Shan, Thamani Dahoun, et al.
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 8, pp. 592-604
Closed Access | Times Cited: 490
Key Topics in Molecular Docking for Drug Design
Pedro Henrique Monteiro Torres, Ana Carolina Rennó Sodero, Paula Jofily, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 18, pp. 4574-4574
Open Access | Times Cited: 469
Pedro Henrique Monteiro Torres, Ana Carolina Rennó Sodero, Paula Jofily, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 18, pp. 4574-4574
Open Access | Times Cited: 469
Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review
Victor T. Sabe, Thandokuhle Ntombela, Lindiwe A. Jhamba, et al.
European Journal of Medicinal Chemistry (2021) Vol. 224, pp. 113705-113705
Closed Access | Times Cited: 446
Victor T. Sabe, Thandokuhle Ntombela, Lindiwe A. Jhamba, et al.
European Journal of Medicinal Chemistry (2021) Vol. 224, pp. 113705-113705
Closed Access | Times Cited: 446
Highly Flexible Ligand Docking: Benchmarking of the DockThor Program on the LEADS-PEP Protein–Peptide Data Set
Karina B. Santos, Isabella Alvim Guedes, Ana L. M. Karl, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 2, pp. 667-683
Closed Access | Times Cited: 220
Karina B. Santos, Isabella Alvim Guedes, Ana L. M. Karl, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 2, pp. 667-683
Closed Access | Times Cited: 220
From machine learning to deep learning: Advances in scoring functions for protein–ligand docking
Chao Shen, Junjie Ding, Zhe Wang, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2019) Vol. 10, Iss. 1
Closed Access | Times Cited: 218
Chao Shen, Junjie Ding, Zhe Wang, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2019) Vol. 10, Iss. 1
Closed Access | Times Cited: 218
Decision Making in Structure-Based Drug Discovery: Visual Inspection of Docking Results
André Fischer, Martin Smieško, Manuel Sellner, et al.
Journal of Medicinal Chemistry (2021) Vol. 64, Iss. 5, pp. 2489-2500
Closed Access | Times Cited: 186
André Fischer, Martin Smieško, Manuel Sellner, et al.
Journal of Medicinal Chemistry (2021) Vol. 64, Iss. 5, pp. 2489-2500
Closed Access | Times Cited: 186
Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches
Javier Vázquez, Manel López, Enric Gibert, et al.
Molecules (2020) Vol. 25, Iss. 20, pp. 4723-4723
Open Access | Times Cited: 165
Javier Vázquez, Manel López, Enric Gibert, et al.
Molecules (2020) Vol. 25, Iss. 20, pp. 4723-4723
Open Access | Times Cited: 165
New machine learning and physics-based scoring functions for drug discovery
Isabella Alvim Guedes, André M. S. Barreto, Diogo Marinho, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 161
Isabella Alvim Guedes, André M. S. Barreto, Diogo Marinho, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 161
On the Frustration to Predict Binding Affinities from Protein–Ligand Structures with Deep Neural Networks
Mikhail Volkov, Joseph-André Turk, Nicolas Drizard, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 11, pp. 7946-7958
Open Access | Times Cited: 130
Mikhail Volkov, Joseph-André Turk, Nicolas Drizard, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 11, pp. 7946-7958
Open Access | Times Cited: 130
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
Molecular Diversity (2021) Vol. 26, Iss. 3, pp. 1893-1913
Open Access | Times Cited: 126
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
Molecular Diversity (2021) Vol. 26, Iss. 3, pp. 1893-1913
Open Access | Times Cited: 126
Drug design and repurposing with DockThor-VS web server focusing on SARS-CoV-2 therapeutic targets and their non-synonym variants
Isabella Alvim Guedes, Leon S. C. Costa, Karina B. Santos, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 120
Isabella Alvim Guedes, Leon S. C. Costa, Karina B. Santos, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 120
Molecular Docking: Principles, Advances, and Its Applications in Drug Discovery
Muhammed Tılahun Muhammed, Esin Aki
Letters in Drug Design & Discovery (2022) Vol. 21, Iss. 3, pp. 480-495
Closed Access | Times Cited: 94
Muhammed Tılahun Muhammed, Esin Aki
Letters in Drug Design & Discovery (2022) Vol. 21, Iss. 3, pp. 480-495
Closed Access | Times Cited: 94
fastDRH: a webserver to predict and analyze protein–ligand complexes based on molecular docking and MM/PB(GB)SA computation
Zhe Wang, Hong Pan, Huiyong Sun, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 92
Zhe Wang, Hong Pan, Huiyong Sun, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 92
Computational and artificial intelligence-based methods for antibody development
Ji‐Sun Kim, Matthew McFee, Qiao Fang, et al.
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 3, pp. 175-189
Open Access | Times Cited: 89
Ji‐Sun Kim, Matthew McFee, Qiao Fang, et al.
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 3, pp. 175-189
Open Access | Times Cited: 89
Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
Rocco Meli, Garrett M. Morris, Philip C. Biggin
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 77
Rocco Meli, Garrett M. Morris, Philip C. Biggin
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 77
Bioinformatics approaches to discovering food-derived bioactive peptides: Reviews and perspectives
Zhenjiao Du, Jeffrey Comer, Yonghui Li
TrAC Trends in Analytical Chemistry (2023) Vol. 162, pp. 117051-117051
Open Access | Times Cited: 69
Zhenjiao Du, Jeffrey Comer, Yonghui Li
TrAC Trends in Analytical Chemistry (2023) Vol. 162, pp. 117051-117051
Open Access | Times Cited: 69
Past, Present, and Future Perspectives on Computer-Aided Drug Design Methodologies
Davide Bassani, Stefano Moro
Molecules (2023) Vol. 28, Iss. 9, pp. 3906-3906
Open Access | Times Cited: 54
Davide Bassani, Stefano Moro
Molecules (2023) Vol. 28, Iss. 9, pp. 3906-3906
Open Access | Times Cited: 54
A Review on Molecular Docking As an Interpretative Tool for Molecular Targets in Disease Management
Divya Sahu, Lokendra Singh Rathor, Shradha Devi Dwivedi, et al.
Assay and Drug Development Technologies (2024) Vol. 22, Iss. 1, pp. 40-50
Closed Access | Times Cited: 16
Divya Sahu, Lokendra Singh Rathor, Shradha Devi Dwivedi, et al.
Assay and Drug Development Technologies (2024) Vol. 22, Iss. 1, pp. 40-50
Closed Access | Times Cited: 16
Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
Maha A. Thafar, Arwa Bin Raies, Somayah Albaradei, et al.
Frontiers in Chemistry (2019) Vol. 7
Open Access | Times Cited: 124
Maha A. Thafar, Arwa Bin Raies, Somayah Albaradei, et al.
Frontiers in Chemistry (2019) Vol. 7
Open Access | Times Cited: 124
Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets
Jincai Yang, Cheng Shen, Niu Huang
Frontiers in Pharmacology (2020) Vol. 11
Open Access | Times Cited: 114
Jincai Yang, Cheng Shen, Niu Huang
Frontiers in Pharmacology (2020) Vol. 11
Open Access | Times Cited: 114
Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace
Natesh Singh, Ludovic Chaput, Bruno O. Villoutreix
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1790-1818
Open Access | Times Cited: 109
Natesh Singh, Ludovic Chaput, Bruno O. Villoutreix
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1790-1818
Open Access | Times Cited: 109
Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions
Jianing Lu, Xuben Hou, Cheng Wang, et al.
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 11, pp. 4540-4549
Open Access | Times Cited: 95
Jianing Lu, Xuben Hou, Cheng Wang, et al.
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 11, pp. 4540-4549
Open Access | Times Cited: 95
Sweet, umami and bitter taste receptors: State of the art of in silico molecular modeling approaches
Giulia Spaggiari, Antonella Di Pizio, Pietro Cozzini
Trends in Food Science & Technology (2019) Vol. 96, pp. 21-29
Closed Access | Times Cited: 93
Giulia Spaggiari, Antonella Di Pizio, Pietro Cozzini
Trends in Food Science & Technology (2019) Vol. 96, pp. 21-29
Closed Access | Times Cited: 93