Author

L. L. Good

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

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

A. Stein· 2 shared K. Lindorff-Larsen· 2 shared A. Elofsson· 1 shared A. Frost· 1 shared A. O. Zalevsky· 1 shared A. S. Dunham· 1 shared A. Shenoy· 1 shared A. Valencia· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

A. Stein

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2 papers

Recent·Most cited

Rapid protein stability prediction using deep learning representations

L. M. Blaabjerg, M. M. Kassem, L. L. Good, N. Jonsson, M. Cagiada, K. E. Johansson, W. Boomsma, A. Stein, K. Lindorff-Larsen

This paper introduces RaSP, a deep learning method for rapid protein stability prediction, showing it matches biophysics-based methods and reveals population-level patterns in stability changes.

bioRxiv · Jul 14, 2022Biophysics

A structural biology community assessment of AlphaFold 2 applications

M. Akdel, D. E. Pires, E. Porta-Pardo, J. Janes, A. O. Zalevsky, B. Meszaros, P. Bryant, L. L. Good, R. A. Laskowski, G. Pozzati, A. Shenoy, W. Zhu, P. Kundrotas, V. Ruiz-Serra, C. H. Rodrigues, , P. Beltrao

This study assesses AlphaFold 2's applications in structural biology, finding it outperforms existing tools in predicting disorder, complexes, and structural features with high confidence.

bioRxiv · Sep 26, 2021 · PreprintBiophysics