Author

S. Lisanza

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biochemistry· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Approach:transformer / foundation model· 1

Frequent Co-Authors

D. Baker· 2 shared D. Tischer· 2 shared J. Wang· 2 shared S. Ovchinnikov· 2 shared A. Saragovi· 1 shared D. Juergens· 1 shared I. Anishchenko· 1 shared I. K. Anishchenko· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiochemistry

D. Baker

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Deep learning methods for designing proteins scaffolding functional sites

J. Wang, S. Lisanza, D. Juergens, D. Tischer, I. Anishchenko, M. Baek, J. L. Watson, J.-H. Chun, L. F. Milles, J. Dauparas, M. Exposit, W. Yang, A. Saragovi, S. Ovchinnikov, D. Baker

This paper introduces two deep learning methods for designing proteins with specific functional sites, showing they can generate diverse proteins with desired properties.

bioRxiv · Nov 10, 2021Biochemistry

Design of proteins presenting discontinuous functional sites using deep learning

D. Tischer, S. Lisanza, J. Wang, R. Dong, I. K. Anishchenko, L. Milles, S. Ovchinnikov, D. Baker

This paper designs proteins with discontinuous functional sites using deep learning, eliminating the need for pre-defined secondary structures and enabling diverse scaffold generation.

bioRxiv · Nov 29, 2020 · PreprintBiochemistry