OpenAlex Citation Counts

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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:

Fr-PPIChem: An Academic Compound Library Dedicated to Protein–Protein Interactions
Nicolas Bosc, Christophe Müller, Laurent Hoffer, et al.
ACS Chemical Biology (2020) Vol. 15, Iss. 6, pp. 1566-1574
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

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: 168

Machine learning-driven identification of drugs inhibiting cytochrome P450 2C9
Elodie Goldwaser, Catherine Laurent, Nathalie Lagarde, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009820-e1009820
Open Access | Times Cited: 27

A journey into the regulatory secrets of the de novo purine nucleotide biosynthesis
Nour Ayoub, Antoine Gedeon, Hélène Munier‐Lehmann
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 6

Resources and computational strategies to advance small molecule SARS-CoV-2 discovery: Lessons from the pandemic and preparing for future health crises
Natesh Singh, Bruno O. Villoutreix
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2537-2548
Open Access | Times Cited: 28

A highly sensitive cell-based luciferase assay for high-throughput automated screening of SARS-CoV-2 nsp5/3CLpro inhibitors
Kuang‐Yu Chen, Tim Krischuns, Laura Ortega Varga, et al.
Antiviral Research (2022) Vol. 201, pp. 105272-105272
Open Access | Times Cited: 22

Targeting protein-protein interactions with low molecular weight and short peptide modulators: insights on disease pathways and starting points for drug discovery
Daniela Trisciuzzi, Bruno O. Villoutreix, Lydia Siragusa, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 7, pp. 737-752
Closed Access | Times Cited: 13

DLiP-PPI library: An integrated chemical database of small-to-medium-sized molecules targeting protein–protein interactions
Kazuyoshi Ikeda, Yuta Maezawa, Tomoki Yonezawa, et al.
Frontiers in Chemistry (2023) Vol. 10
Open Access | Times Cited: 12

Design and Diversity Analysis of Chemical Libraries in Drug Discovery
Dionisio A. Olmedo, Armando A. Durant-Archibold, José Luis López‐Pérez, et al.
Combinatorial Chemistry & High Throughput Screening (2023) Vol. 27, Iss. 4, pp. 502-515
Open Access | Times Cited: 10

Strategies for in Silico Drug Discovery to Modulate Macromolecular Interactions Altered by Mutations
Pitambar Poudel, Maria A. Miteva, Emil Alexov
Frontiers in Bioscience-Landmark (2025) Vol. 30, Iss. 4
Open Access

Artificial Intelligence, Machine Learning, and Deep Learning in Real-Life Drug Design Cases
Christophe Müller, Obdulia Rabal, Constantino Diaz Gonzalez
Methods in molecular biology (2021), pp. 383-407
Closed Access | Times Cited: 22

Multi-level bioinformatics resources support drug target discovery of protein–protein interactions
Jiaxin Liu, Xiao Zhang, Yuanqin Huang, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 5, pp. 103979-103979
Closed Access | Times Cited: 3

Analysis of physicochemical properties of protein–protein interaction modulators suggests stronger alignment with the “rule of five”
Jia Q. Truong, Ashwin George, Jessica K. Holien
RSC Medicinal Chemistry (2021) Vol. 12, Iss. 10, pp. 1731-1749
Open Access | Times Cited: 17

Machine Learning Models to Predict Protein–Protein Interaction Inhibitors
Bárbara I. Díaz‐Eufracio, José L. Medina‐Franco
Molecules (2022) Vol. 27, Iss. 22, pp. 7986-7986
Open Access | Times Cited: 11

Targeting protein-protein interactions in drug discovery: Modulators approved or in clinical trials for cancer treatment
Cristina Camps-Fajol, Debora Cavero, Jordi Minguillón, et al.
Pharmacological Research (2024) Vol. 211, pp. 107544-107544
Open Access | Times Cited: 2

Fast Rescoring Protocols to Improve the Performance of Structure-Based Virtual Screening Performed on Protein–Protein Interfaces
Natesh Singh, Ludovic Chaput, Bruno O. Villoutreix
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 8, pp. 3910-3934
Open Access | Times Cited: 16

A Hybrid Docking and Machine Learning Approach to Enhance the Performance of Virtual Screening Carried out on Protein–Protein Interfaces
Natesh Singh, Bruno O. Villoutreix
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 22, pp. 14364-14364
Open Access | Times Cited: 10

Structure-Based Drug Design for Tuberculosis: Challenges Still Ahead
Eduardo M. Bruch, S. Petrella, Marco Bellinzoni
Applied Sciences (2020) Vol. 10, Iss. 12, pp. 4248-4248
Open Access | Times Cited: 12

Discovery of Small-Molecule Inhibitors of the PTK7/β-Catenin Interaction Targeting the Wnt Signaling Pathway in Colorectal Cancer
Laëtitia Ganier, S. Betzi, Carine Derviaux, et al.
ACS Chemical Biology (2022) Vol. 17, Iss. 5, pp. 1061-1072
Open Access | Times Cited: 8

Fragment-based drug design targeting syntenin PDZ2 domain involved in exosomal release and tumour spread
Manon Garcia, Laurent Hoffer, Raphaël Leblanc, et al.
European Journal of Medicinal Chemistry (2021) Vol. 223, pp. 113601-113601
Open Access | Times Cited: 10

Development of a chemogenomics library for phenotypic screening
Bryan Dafniet, Natacha Cerisier, Batiste Boezio, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 10

A DNA Force Circuit for Exploring Protein‐Protein Interactions at the Single‐Molecule Level
Kangkang Ma, Luoan Xiong, Zhuofei Wang, et al.
Chinese Journal of Chemistry (2024) Vol. 42, Iss. 13, pp. 1456-1464
Closed Access | Times Cited: 1

The Use of Informer Sets in Screening: Perspectives on an Efficient Strategy to Identify New Probes
Paul A. Clemons, Joshua A. Bittker, Florence F. Wagner, et al.
SLAS DISCOVERY (2021) Vol. 26, Iss. 7, pp. 855-861
Open Access | Times Cited: 9

Generating Potential Protein-Protein Interaction Inhibitor Molecules Based on Physicochemical Properties
Masahito Ohue, Yuki Kojima, Takatsugu Kosugi
Molecules (2023) Vol. 28, Iss. 15, pp. 5652-5652
Open Access | Times Cited: 3

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