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:

Machine learning for antimicrobial peptide identification and design
Fangping Wan, Felix Wong, James J. Collins, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 5, pp. 392-407
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A review on the screening methods for the discovery of natural antimicrobial peptides
Bin Yang, Hongyan Yang, Jianlong Liang, et al.
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 1, pp. 101046-101046
Open Access | Times Cited: 37
Deep-learning-enabled antibiotic discovery through molecular de-extinction
Fangping Wan, Marcelo D. T. Torres, Jacqueline Peng, et al.
Nature Biomedical Engineering (2024) Vol. 8, Iss. 7, pp. 854-871
Open Access | Times Cited: 36
Mining human microbiomes reveals an untapped source of peptide antibiotics
Marcelo D. T. Torres, Erin F. Brooks, Angela Cesaro, et al.
Cell (2024) Vol. 187, Iss. 19, pp. 5453-5467.e15
Open Access | Times Cited: 30
Antimicrobial resistance: a concise update
Charlotte Shan Ho, Carlos T H Wong, Thet Tun Aung, et al.
The Lancet Microbe (2024), pp. 100947-100947
Open Access | Times Cited: 16
From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review
José Manuel Pérez de la Lastra, Samuel J. T. Wardell, Tarun Pal, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 7
AI Methods for Antimicrobial Peptides: Progress and Challenges
Carlos A. Brizuela, Gary Liu, J Stokes, et al.
Microbial Biotechnology (2025) Vol. 18, Iss. 1
Open Access
Superficial Fungal Infections and Artificial Intelligence: A Review on Current Advances and Opportunities: REVISION
Bahareh Hasan Pour
Mycoses (2025) Vol. 68, Iss. 1
Closed Access
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Angela Cesaro, Samuel C. Hoffman, Payel Das, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access
Improving functional protein generation via foundation model-derived latent space likelihood optimization
Changge Guan, Fangping Wan, Marcelo D. T. Torres, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Combating antimicrobial resistance using artificial intelligence/machine learning methods
NirmalKumar Mohakud, Sumit Kumar Tetarave
Journal of Integrative Medicine and Research (2025) Vol. 3, Iss. 1, pp. 1-3
Closed Access
Deep Learning for Antimicrobial Peptides: Computational Models and Databases
Xiangrun Zhou, Guixia Liu, Shuyuan Cao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Designing nanotheranostics with machine learning
Lang Rao, Yuan Yuan, Xi Shen, et al.
Nature Nanotechnology (2024)
Closed Access | Times Cited: 5
Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties
Marcelo D. T. Torres, Angela Cesaro, César de la Fuente‐Núñez
Trends in biotechnology (2024)
Open Access | Times Cited: 4
Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides
W J Gao, Jun Zhao, Jianfeng Gui, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 2
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning
Marko Njirjak, Lucija Žužić, Marko Babić, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 2
Can large language models predict antimicrobial peptide activity and toxicity?
Markus Orsi, Jean‐Louis Reymond
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 6, pp. 2030-2036
Open Access | Times Cited: 1
Discovery of AMPs from Random Peptides via Deep Learning-Based Model and Biological Activity Validation
Jun Du, Changyan Yang, Yabo Deng, et al.
European Journal of Medicinal Chemistry (2024) Vol. 277, pp. 116797-116797
Closed Access | Times Cited: 1
Defensins identified through molecular de-extinction
Adryan F.L. Ferreira, Karen Ofuji Osiro, Kamila Botelho Sampaio de Oliveira, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 9, pp. 102193-102193
Open Access | Times Cited: 1
Integrated computational approaches for advancing antimicrobial peptide development
Yanpeng Fang, Yeshuo Ma, Kunqian Yu, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 11, pp. 1046-1060
Closed Access | Times Cited: 1
Applying Machine Learning for Antibiotic Development and Prediction of Microbial Resistance
Apurva Panjla, Saurabh Joshi, Geetanjali Singh, et al.
Chemistry - An Asian Journal (2024)
Closed Access
Machine Learning in FTIR Spectrum for the Identification of Antibiotic Resistance: A Demonstration with Different Species of Microorganisms
Claudia Patricia Barrera Patiño, Jennifer M. Soares, Kate Cristina Blanco, et al.
Antibiotics (2024) Vol. 13, Iss. 9, pp. 821-821
Open Access
Understanding Antimicrobial Peptide Synergy: Differential Binding Interactions and Their Impact on Membrane Integrity
Jeseong Yoon, Youngbeom Jo, Seokmin Shin
The Journal of Physical Chemistry B (2024)
Closed Access
Identification of Molecular Compounds Targeting Bacterial Propionate Metabolism with Topological Machine Learning
Abdullah T. Tola, Salim Aziz, Dannie Zhabilov, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Insights into the identification of antimicrobial peptides: A multidisciplinary observation
Sizhe Chen, Qi Su
iMetaOmics. (2024) Vol. 1, Iss. 2
Open Access
Progress in the Identification and Design of Novel Antimicrobial Peptides Against Pathogenic Microorganisms
Shengwei Sun
Probiotics and Antimicrobial Proteins (2024)
Open Access
Page 1 - Next Page

Scroll to top