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:

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: 75

Showing 1-25 of 75 citing articles:

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, et al.
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1916-1916
Open Access | Times Cited: 317
Assessing developability early in the discovery process for novel biologics
Monica L. Fernández‐Quintero, Anne Ljungars, Franz Waibl, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 42
Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV
Aubin Ramon, Montader Ali, Misha Atkinson, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 1, pp. 74-91
Open Access | Times Cited: 24
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
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: 56
Understanding the Stabilizing Effect of Histidine on mAb Aggregation: A Molecular Dynamics Study
Suman Saurabh, Cavan Kalonia, Zongyi Li, et al.
Molecular Pharmaceutics (2022) Vol. 19, Iss. 9, pp. 3288-3303
Open Access | Times Cited: 42
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
Evolution of phage display libraries for therapeutic antibody discovery
Yang Zhang
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 32
Linguistically inspired roadmap for building biologically reliable protein language models
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 5, pp. 485-496
Closed Access | Times Cited: 30
Artificial intelligence for compound pharmacokinetics prediction
Olga Obrezanova
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102546-102546
Closed Access | Times Cited: 29
Blueprint for antibody biologics developability
Carl Mieczkowski, Xuejin Zhang, Dana Lee, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 28
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
Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction
Li Tong, Yupeng Li, Xiaoyi Zhu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 50-69
Closed Access | Times Cited: 21
Recent Advances in the Development of Monoclonal Antibodies and Next-Generation Antibodies
Rohit Singh, Pankaj Chandley, Soma Rohatgi
ImmunoHorizons (2023) Vol. 7, Iss. 12, pp. 886-897
Open Access | Times Cited: 21
Automated optimisation of solubility and conformational stability of antibodies and proteins
Angelo Rosace, Anja Bennett, Marc Oeller, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Prospects for the computational humanization of antibodies and nanobodies
G. Gordon, Matthew I. J. Raybould, Chi Yan Wong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 9
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
Do antibody CDR loops change conformation upon binding?
C.T. Liu, Lilian Denzler, Oliver E.C. Hood, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 7
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Xiangru Tang, Howard Dai, Elizabeth Knight, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 7
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Habib Bashour, Eva Smorodina, Matteo Pariset, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Maria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 3
Open Access
The evolutionary and functional significance of germline immunoglobulin gene variation
Matt Pennell, Oscar L. Rodriguez, Corey T. Watson, et al.
Trends in Immunology (2022) Vol. 44, Iss. 1, pp. 7-21
Open Access | Times Cited: 34
AI models for protein design are driving antibody engineering
Michael Chungyoun, Jeffrey J. Gray
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100473-100473
Open Access | Times Cited: 16
Deep learning in preclinical antibody drug discovery and development
Yuwei Zhou, Ziru Huang, Wenzhen Li, et al.
Methods (2023) Vol. 218, pp. 57-71
Closed Access | Times Cited: 16
Page 1 - Next Page

Scroll to top