Author

O. A. Martin

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 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

J. A. Vila· 2 shared A. A. Icazatti· 1 shared E. G. Jobbagy· 1 shared G. Baldi· 1 shared H. A. Scheraga· 1 shared I. Szleifer· 1 shared J. M. Loyola· 1 shared M. Texeira· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBiophysics

J. A. Vila

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Does protein A mirror image exist in solution? Outline of an experimental design aimed to detect it

O. A. Martin, Y. Vorobjev, H. A. Scheraga, J. A. Vila

The paper outlines an experimental design to detect the mirror image of Protein A in solution using a mutant (01 OH) and pKa measurements.

bioRxiv · Jul 12, 2019Biophysics

Classification of RNA backbone conformation into rotamers using 13C' chemical shifts: How far we can go?

A. A. Icazatti, J. M. Loyola, I. Szleifer, J. A. Vila, O. A. Martin

This study uses 13C' chemical shifts and machine learning to classify RNA backbone conformations into rotamers and discusses limitations of theoretical computations.

bioRxiv · Feb 25, 2019Biophysics

Nature representativeness in South American protected areas: Country contrasts and conservation priorities

G. Baldi, S. A. Schauman, M. Texeira, S. Marinaro, O. A. Martin, P. Gandini, E. G. Jobbagy

The paper evaluates the representativeness of protected areas in South America, identifies conservation priorities, and analyzes factors driving their spatial distribution using a random forest method.

bioRxiv · Oct 30, 2018Ecology