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:

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

Showing 1-25 of 137 citing articles:

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

TheAutoDocksuite at 30
David S. Goodsell, Michel F. Sanner, Arthur J. Olson, et al.
Protein Science (2020) Vol. 30, Iss. 1, pp. 31-43
Open Access | Times Cited: 152

A deep-learning framework for multi-level peptide–protein interaction prediction
Yipin Lei, Shuya Li, Ziyi Liu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 147

Accelerating AutoDock Vina with GPUs
Shidi Tang, Ruiqi Chen, Mengru Lin, et al.
Molecules (2022) Vol. 27, Iss. 9, pp. 3041-3041
Open Access | Times Cited: 76

Comprehensive Evaluation of Fourteen Docking Programs on Protein–Peptide Complexes
Gaoqi Weng, Junbo Gao, Zhe Wang, et al.
Journal of Chemical Theory and Computation (2020) Vol. 16, Iss. 6, pp. 3959-3969
Closed Access | Times Cited: 130

Discovery of SARS-CoV-2 Mpro peptide inhibitors from modelling substrate and ligand binding
H. T. Henry Chan, Marc A. Moesser, Rebecca K. Walters, et al.
Chemical Science (2021) Vol. 12, Iss. 41, pp. 13686-13703
Open Access | Times Cited: 73

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

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

Predicting Protein–Peptide Interactions: Benchmarking Deep Learning Techniques and a Comparison with Focused Docking
Sudhanshu Shanker, Michel F. Sanner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 3158-3170
Closed Access | Times Cited: 24

Multi-epitope vaccines, from design to expression; an in silico approach
Behnam Mortazavi, Ali Molaei, Najaf Allahyari Fard
Human Immunology (2024) Vol. 85, Iss. 3, pp. 110804-110804
Closed Access | Times Cited: 14

Virtual Screening of Peptide Libraries: The Search for Peptide-Based Therapeutics Using Computational Tools
Marian Vincenzi, Flavia Anna Mercurio, Marilisa Leone
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1798-1798
Open Access | Times Cited: 13

Combination of virtual screening, machine learning, molecular dynamics simulations and sensory evaluation to discover novel umami peptides from fermented Atlantic cod
Hao Zou, Hao Wang, Jinlong Zhao, et al.
Food Bioscience (2024) Vol. 59, pp. 104250-104250
Closed Access | Times Cited: 11

Targeting Tumors Using Peptides
Pablo Scodeller, Eliana K. Asciutto
Molecules (2020) Vol. 25, Iss. 4, pp. 808-808
Open Access | Times Cited: 64

Computational insight into stability-enhanced systems of anthocyanin with protein/peptide
Xing Cheng, Pei Chen, Lei Zhang
Food Chemistry Molecular Sciences (2023) Vol. 6, pp. 100168-100168
Open Access | Times Cited: 22

HighFold: accurately predicting structures of cyclic peptides and complexes with head-to-tail and disulfide bridge constraints
Chenhao Zhang, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 8

AutoGridFR: Improvements on AutoDock Affinity Maps and Associated Software Tools
Yuqi Zhang, Stefano Forli, Anna Omelchenko, et al.
Journal of Computational Chemistry (2019) Vol. 40, Iss. 32, pp. 2882-2886
Open Access | Times Cited: 54

Docking Flexible Cyclic Peptides with AutoDock CrankPep
Yuqi Zhang, Michel F. Sanner
Journal of Chemical Theory and Computation (2019) Vol. 15, Iss. 10, pp. 5161-5168
Open Access | Times Cited: 44

Computational Modeling as a Tool to Investigate PPI: From Drug Design to Tissue Engineering
Juan J. Pérez, Román A. Pérez, Alberto Pérez
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 33

Modelling peptide–protein complexes: docking, simulations and machine learning
Arup Mondal, Liwei Chang, Alberto Pérez
QRB Discovery (2022) Vol. 3
Open Access | Times Cited: 25

tLyp–1: A peptide suitable to target NRP–1 receptor
Ludivine Larue, Bibigul Kenzhebayeva, Mohammad G. Al‐Thiabat, et al.
Bioorganic Chemistry (2022) Vol. 130, pp. 106200-106200
Open Access | Times Cited: 24

Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era
Liwei Chang, Arup Mondal, Bhumika Singh, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 14, Iss. 1
Closed Access | Times Cited: 16

Design of Cyclic Peptides Targeting Protein–Protein Interactions Using AlphaFold
Takatsugu Kosugi, Masahito Ohue
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13257-13257
Open Access | Times Cited: 15

Discovery and pharmacophoric characterization of chemokine network inhibitors using phage-display, saturation mutagenesis and computational modelling
Serena Vales, Jhanna Kryukova, Soumyanetra Chandra, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 13

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