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:

Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness
Sharrol Bachas, Goran Rakočević, David A. Spencer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

High-throughput ML-guided design of diverse single-domain antibodies against SARS-CoV-2
Christof Angermueller, Zelda Mariet, Benjamin W. Jester, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Machine Learning-Guided Antibody Engineering That Leverages Domain Knowledge To Overcome The Small Data Problem
Thomas A. Clark, Vidya Subramanian, Akila Jayaraman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Building Representation Learning Models for Antibody Comprehension
Justin Barton, Aretas Gaspariunas, Jacob D. Galson, et al.
Cold Spring Harbor Perspectives in Biology (2023) Vol. 16, Iss. 3, pp. a041462-a041462
Closed Access | Times Cited: 2
Deep Learning for the Structure‐Based Binding Free Energy Prediction of Small Molecule Ligands
Venkatesh Mysore, Nilkanth Patel, Adegoke A. Ojewole
(2024), pp. 255-273
Closed Access
Designing diverse and high-performance proteins with a large language model in the loop
Carlos Alberto Gomez-Uribe, Japheth E. Gado, Meiirbek Islamov
(2024)
Open Access
Strategies to boost antibody selectivity in oncology
Vincent Blay, Atanasio Pandiella
Trends in Pharmacological Sciences (2024)
Open Access
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
Timothy J O'Donnell, Chakravarthi Kanduri, Giulio Isacchini, et al.
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1168-1189
Open Access
Learning the language of antibody hypervariability
Rohit Singh, Chiho Im, Yu Qiu, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 122, Iss. 1
Open Access
Protein Sequence Modelling with Bayesian Flow Networks
Timothy Atkinson, Thomas D. Barrett, Scott H. Cameron, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
De novogeneration of antibody CDRH3 with a pre-trained generative large language model
Haohuai He, Bing He, Lei Guan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Sample-efficient Antibody Design through Protein Language Model for Risk-aware Batch Bayesian Optimization
Yanzheng Wang, Boyue Wang, Tianyu Shi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Previous Page - Page 2

Scroll to top