Author

A. A. Castellanos

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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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 3 Approach:machine learning (classical)· 3 Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Organism:human· 1 Organism:mouse· 1 Organism:multiple species· 1 Organism:rat· 1

Frequent Co-Authors

B. A. Han· 3 shared C. K. Glidden· 2 shared E. A. Mordecai· 2 shared A. Murran· 1 shared A. Varsani· 1 shared B. Carvalho· 1 shared G. Vadmal· 1 shared I. R. Fischhoff· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersEcology

B. A. Han

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

EcologybioRxivPreprintOct 11, 2022

Phylogenetic and biogeographical traits predict unrecognized hosts of zoonotic leishmaniasis

C. K. Glidden, A. Murran, R. A. Silva…·E. A. Mordecai

The paper uses machine learning to predict unrecognized wildlife hosts of zoonotic Leishmania by analyzing biogeography, phylogenetic distance, and environmental traits.

DOI 10.1101/2022.10.11.511693

mousehuman

𝕏 PostBluesky

EcologybioRxivPreprintAug 22, 2022

Data-Driven Predictions of Potential Leishmania Vectors in Latin America

G. Vadmal, C. K. Glidden, B. A. Han…·E. A. Mordecai

This paper uses machine learning to predict potential Leishmania vectors in Latin America based on sandfly traits and environmental factors, identifying two new potential vectors.

DOI 10.1101/2022.08.22.504897

machine learning (classical)host-pathogen & immune response

𝕏 PostBluesky

EcologybioRxivFeb 18, 2021

Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2

I. R. Fischhoff, A. A. Castellanos, J. P. G. L. M. Rodrigues…·B. A. Han

This paper predicts the zoonotic capacity of over 5,000 mammals to transmit SARS-CoV-2 using machine learning, combining ecological traits and 3D protein interaction models.

DOI 10.1098/rspb.2021.1651

multiple speciesmachine learning (classical)

𝕏 PostBluesky