
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:
Data-Efficient Generation of Protein Conformational Ensembles with Backbone-to-Side-Chain Transformers
Shriram Chennakesavalu, Grant M. Rotskoff
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 9, pp. 2114-2123
Open Access | Times Cited: 7
Shriram Chennakesavalu, Grant M. Rotskoff
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 9, pp. 2114-2123
Open Access | Times Cited: 7
Showing 7 citing articles:
FlowBack: A Generalized Flow-Matching Approach for Biomolecular Backmapping
Michael S. Jones, Smayan Khanna, Andrew L. Ferguson
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
Michael S. Jones, Smayan Khanna, Andrew L. Ferguson
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
Application of Transformers in Cheminformatics
Kha-Dinh Luong, Ambuj K. Singh
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4392-4409
Open Access | Times Cited: 8
Kha-Dinh Luong, Ambuj K. Singh
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4392-4409
Open Access | Times Cited: 8
Exploring the Conformational Ensembles of Protein–Protein Complex with Transformer-Based Generative Model
Jianmin Wang, Xun Wang, Yanyi Chu, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 11, pp. 4469-4480
Closed Access | Times Cited: 6
Jianmin Wang, Xun Wang, Yanyi Chu, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 11, pp. 4469-4480
Closed Access | Times Cited: 6
Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?
Grant M. Rotskoff
Current Opinion in Solid State and Materials Science (2024) Vol. 30, pp. 101158-101158
Closed Access | Times Cited: 4
Grant M. Rotskoff
Current Opinion in Solid State and Materials Science (2024) Vol. 30, pp. 101158-101158
Closed Access | Times Cited: 4
Machine learning methods to study sequence–ensemble–function relationships in disordered proteins
Sören von Bülow, Giulio Tesei, Kresten Lindorff‐Larsen
Current Opinion in Structural Biology (2025) Vol. 92, pp. 103028-103028
Open Access
Sören von Bülow, Giulio Tesei, Kresten Lindorff‐Larsen
Current Opinion in Structural Biology (2025) Vol. 92, pp. 103028-103028
Open Access
Use of AI-methods over MD simulations in the sampling of conformational ensembles in IDPs
Souradeep Sil, Ishita Datta, Sankar Basu
Frontiers in Molecular Biosciences (2025) Vol. 12
Open Access
Souradeep Sil, Ishita Datta, Sankar Basu
Frontiers in Molecular Biosciences (2025) Vol. 12
Open Access
Coarse-Grained Molecular Dynamics with Normalizing Flows
Samuel Tamagnone, Alessandro Laio, Marylou Gabrié
Journal of Chemical Theory and Computation (2024)
Open Access | Times Cited: 2
Samuel Tamagnone, Alessandro Laio, Marylou Gabrié
Journal of Chemical Theory and Computation (2024)
Open Access | Times Cited: 2