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:
Computational and Experimental Assessment of Backbone Templates for Computational Redesign of the Thioredoxin Fold
Frederikke Isa Marin, Kristoffer E. Johansson, Charlotte O’Shea, et al.
The Journal of Physical Chemistry B (2021) Vol. 125, Iss. 40, pp. 11141-11149
Open Access | Times Cited: 6
Frederikke Isa Marin, Kristoffer E. Johansson, Charlotte O’Shea, et al.
The Journal of Physical Chemistry B (2021) Vol. 125, Iss. 40, pp. 11141-11149
Open Access | Times Cited: 6
Showing 6 citing articles:
Rotamer-free protein sequence design based on deep learning and self-consistency
Yufeng Liu, Lu Zhang, Weilun Wang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 7, pp. 451-462
Closed Access | Times Cited: 44
Yufeng Liu, Lu Zhang, Weilun Wang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 7, pp. 451-462
Closed Access | Times Cited: 44
Computational Advances in Protein Engineering and Enzyme Design
Étienne Derat, Shina Caroline Lynn Kamerlin
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 13, pp. 2449-2451
Closed Access | Times Cited: 17
Étienne Derat, Shina Caroline Lynn Kamerlin
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 13, pp. 2449-2451
Closed Access | Times Cited: 17
Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation
Tae-Eun Kim, Kotaro Tsuboyama, Scott Houliston, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 41
Open Access | Times Cited: 12
Tae-Eun Kim, Kotaro Tsuboyama, Scott Houliston, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 41
Open Access | Times Cited: 12
Protein sequence design on given backbones with deep learning
Yufeng Liu, Haiyan Liu
Protein Engineering Design and Selection (2023) Vol. 37
Closed Access | Times Cited: 4
Yufeng Liu, Haiyan Liu
Protein Engineering Design and Selection (2023) Vol. 37
Closed Access | Times Cited: 4
Rotamer-Free Protein Sequence Design Based on Deep Learning and Self-Consistency
Yufeng Liu, Lu Zhang, Weilun Wang, et al.
Research Square (Research Square) (2022)
Closed Access | Times Cited: 3
Yufeng Liu, Lu Zhang, Weilun Wang, et al.
Research Square (Research Square) (2022)
Closed Access | Times Cited: 3
Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation
Tae-Eun Kim, Kotaro Tsuboyama, Scott Houliston, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
Tae-Eun Kim, Kotaro Tsuboyama, Scott Houliston, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3
