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:

Protein–peptide docking: opportunities and challenges
Maciej Paweł Ciemny, Mateusz Kurciński, Karol Kamel, et al.
Drug Discovery Today (2018) Vol. 23, Iss. 8, pp. 1530-1537
Open Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

Harnessing protein folding neural networks for peptide–protein docking
Tomer Tsaban, Julia K. Varga, Orly Avraham, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 894
Use of molecular docking computational tools in drug discovery
Francesca Stanzione, Ilenia Giangreco, Jason C. Cole
Progress in medicinal chemistry (2021), pp. 273-343
Closed Access | Times Cited: 385
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development
Outi M. H. Salo‐Ahen, Ida Alanko, Rajendra Bhadane, et al.
Processes (2020) Vol. 9, Iss. 1, pp. 71-71
Open Access | Times Cited: 383
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
A comprehensive application: Molecular docking and network pharmacology for the prediction of bioactive constituents and elucidation of mechanisms of action in component-based Chinese medicine
Xinyi Jiao, Xin Jin, Yuanyuan Ma, et al.
Computational Biology and Chemistry (2020) Vol. 90, pp. 107402-107402
Closed Access | Times Cited: 167
Drug Repurposing Strategy (DRS): Emerging Approach to Identify Potential Therapeutics for Treatment of Novel Coronavirus Infection
Biswa Mohan Sahoo, B. V. V. Ravi Kumar, J. Sruti, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 105
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
From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2
Hélène Bret, Jinmei Gao, Diego Javier Zea, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 49
Targeting endothelial vascular cell adhesion molecule-1 in atherosclerosis: drug discovery and development of vascular cell adhesion molecule-1–directed novel therapeutics
Jessica R Pickett, Yuao Wu, Lucía F. Zacchi, et al.
Cardiovascular Research (2023) Vol. 119, Iss. 13, pp. 2278-2293
Open Access | Times Cited: 42
Leveraging machine learning models for peptide–protein interaction prediction
Yin Song, Xuenan Mi, Diwakar Shukla
RSC Chemical Biology (2024) Vol. 5, Iss. 5, pp. 401-417
Open Access | Times Cited: 21
Electronic tongue, proton-transfer-reaction mass spectrometry, spectral analysis, and molecular docking characterization for determining the effect of α-amylase on flavor perception
Dandan Pu, Ruixin Meng, Kaina Qiao, et al.
Food Research International (2024) Vol. 181, pp. 114078-114078
Closed Access | Times Cited: 19
AutoDock CrankPep: combining folding and docking to predict protein–peptide complexes
Yuqi Zhang, Michel F. Sanner
Bioinformatics (2019) Vol. 35, Iss. 24, pp. 5121-5127
Open Access | Times Cited: 137
Peptides as Therapeutic Agents for Inflammatory-Related Diseases
Sara La Manna, Concetta Di Natale, Daniele Florio, et al.
International Journal of Molecular Sciences (2018) Vol. 19, Iss. 9, pp. 2714-2714
Open Access | Times Cited: 131
Assessing the performance of MM/PBSA and MM/GBSA methods. 9. Prediction reliability of binding affinities and binding poses for protein–peptide complexes
Gaoqi Weng, Ercheng Wang, Fu Chen, et al.
Physical Chemistry Chemical Physics (2019) Vol. 21, Iss. 19, pp. 10135-10145
Closed Access | Times Cited: 124
Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding
Jinan Wang, Yinglong Miao
The Journal of Chemical Physics (2020) Vol. 153, Iss. 15
Open Access | Times Cited: 106
Rational Design of Functional Peptide–Gold Hybrid Nanomaterials for Molecular Interactions
Xiaohu Liu, Qingwen Zhang, Wolfgang Knoll, et al.
Advanced Materials (2020) Vol. 32, Iss. 37
Closed Access | Times Cited: 90
Improved Modeling of Peptide-Protein Binding Through Global Docking and Accelerated Molecular Dynamics Simulations
Jinan Wang, Andrey Alekseenko, Dima Kozakov, et al.
Frontiers in Molecular Biosciences (2019) Vol. 6
Open Access | Times Cited: 82
CABS-dock standalone: a toolbox for flexible protein–peptide docking
Mateusz Kurciński, Maciej Paweł Ciemny, Tymoteusz Oleniecki, et al.
Bioinformatics (2019) Vol. 35, Iss. 20, pp. 4170-4172
Open Access | Times Cited: 79
Can AlphaFold2 predict protein-peptide complex structures accurately?
Junsu Ko, Juyong Lee
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 73
In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein–Protein Interactions
Zahra Sadat Hashemi, Mahboubeh Zarei, Mohsen Karami Fath, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 70
PepNN: a deep attention model for the identification of peptide binding sites
Osama Abdin, Satra Nim, Han Wen, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 52
Integrated unsupervised–supervised modeling and prediction of protein–peptide affinities at structural level
Peng Zhou, Wen Li, Jing Lin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 51
Recent advance in tailoring the structure and functions of self-assembled peptide nanomaterials for biomedical applications
Danzhu Zhu, Hao Kong, Zhen‐Gang Sun, et al.
Coordination Chemistry Reviews (2023) Vol. 494, pp. 215374-215374
Closed Access | Times Cited: 37
Computational approaches for the design of modulators targeting protein-protein interactions
Ashfaq Ur Rehman, Beenish Khurshid, Yasir Ali, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 3, pp. 315-333
Open Access | Times Cited: 33
Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning
Xingang Peng, Yipin Lei, Peiyuan Feng, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 395-407
Closed Access | Times Cited: 33
Page 1 - Next Page

Scroll to top