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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:

DLAB: deep learning methods for structure-based virtual screening of antibodies
Constantin Schneider, Andrew Buchanan, Bruck Taddese, et al.
Bioinformatics (2021) Vol. 38, Iss. 2, pp. 377-383
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Brennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 143
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: 84
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Rahmad Akbar, Habib Bashour, Puneet Rawat, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 76
Development of therapeutic antibodies for the treatment of diseases
Zeng Wang, Guoqing Wang, Huaqing Lu, et al.
Molecular Biomedicine (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 73
Advances in computational structure-based antibody design
Alissa Hummer, Brennan Abanades, Charlotte M. Deane
Current Opinion in Structural Biology (2022) Vol. 74, pp. 102379-102379
Open Access | Times Cited: 66
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 58
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods
Tiago Alves de Oliveira, Michel Pires da Silva, Eduardo Habib Bechelane Maia, et al.
Drugs and Drug Candidates (2023) Vol. 2, Iss. 2, pp. 311-334
Open Access | Times Cited: 54
Development and use of machine learning algorithms in vaccine target selection
Barbara Bravi
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 22
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, et al.
Computers & Chemical Engineering (2024) Vol. 182, pp. 108585-108585
Open Access | Times Cited: 19
SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker
Constantin Schneider, Matthew I. J. Raybould, Charlotte M. Deane
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1368-D1372
Open Access | Times Cited: 90
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
Wiktoria Wilman, Sonia Wróbel, Weronika Bielska, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 57
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
Philippe A. Robert, Rahmad Akbar, Robert Frank, et al.
Nature Computational Science (2022) Vol. 2, Iss. 12, pp. 845-865
Open Access | Times Cited: 35
The RESP AI model accelerates the identification of tight-binding antibodies
Jonathan Parkinson, Ryan Hard, Wei Wang
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Toward real-world automated antibody design with combinatorial Bayesian optimization
Asif Khan, Alexander I. Cowen-Rivers, Antoine Grosnit, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 1, pp. 100374-100374
Open Access | Times Cited: 25
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features
Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens
Federica Guarra, Giorgio Colombo
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 16, pp. 5315-5333
Open Access | Times Cited: 23
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies
Cyril Malbranke, David Bikard, Simona Cocco, et al.
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102571-102571
Open Access | Times Cited: 21
Computational Chemistry in Structure-Based Solute Carrier Transporter Drug Design: Recent Advances and Future Perspectives
Gao Tu, Tingting Fu, Guoxun Zheng, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1433-1455
Closed Access | Times Cited: 7
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 7
Predicting antibody binders and generating synthetic antibodies using deep learning
Yoong Wearn Lim, Adam S. Adler, David S. Johnson
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Accelerating therapeutic protein design with computational approaches toward the clinical stage
Zhidong Chen, Xinpei Wang, Xu Chen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2909-2926
Open Access | Times Cited: 17
Recent Progress in Antibody Epitope Prediction
Xincheng Zeng, Ganggang Bai, Chuance Sun, et al.
Antibodies (2023) Vol. 12, Iss. 3, pp. 52-52
Open Access | Times Cited: 17
Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization
Jiaqi Li, Guangbo Kang, Jiewen Wang, et al.
International Journal of Biological Macromolecules (2023) Vol. 247, pp. 125733-125733
Open Access | Times Cited: 15
Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects
Ganggang Bai, Chuance Sun, Ziang Guo, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 13-24
Closed Access | Times Cited: 14
Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery
Igor Jaszczyszyn, Weronika Bielska, Tomasz Gawłowski, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 14
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