Author

Karla P. Godinez‐Macias

University of California San DiegoORCID 0000-0002-6323-0204Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:plant (other)· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Elizabeth A. WinzeleriD· 3 shared Amanda K. LukensiD· 1 shared Andrea L. Cheung· 1 shared Austin W.T. ChiangiD· 1 shared Benjamin P. KellmaniD· 1 shared Bokan BaoiD· 1 shared Case W. McNamaraiD· 1 shared Chenguang Liang· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersMicrobiology

Elizabeth A. WinzelerORCID

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4 papers

Recent·Most cited

MicrobiologybioRxivPreprintMay 29, 2026

Single-cell analysis of Plasmodium falciparum transcripts after drug perturbation identifies feedback regulation as well as increased transmission potential

Karla P. Godinez‐Macias, Jaeson Calla, Kristen Jepsen, Elizabeth A. Winzeler

This study uses scRNA-seq to analyze Plasmodium falciparum transcript responses to three drugs, revealing distinct transcriptional profiles and feedback regulation.

1 citation

plant (other)scRNA-seq

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BioinformaticsbioRxivPreprintFeb 23, 2024

CACTI: An in-silico drug-target prediction tool through the integration of chemogenomic data and clustering analysis

Karla P. Godinez‐Macias, Elizabeth A. Winzeler

CACTI integrates chemogenomic data and clustering analysis to predict drug targets and annotate compound synonyms, enhancing the evaluation of chemical libraries.

DOI 10.1101/2024.02.23.581805

statistical modeldrug response / drug discovery

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GeneticsbioRxivPreprintFeb 17, 2021

Defining the Yeast Resistome through in vitro Evolution and Whole Genome Sequencing

Sabine Ottilie, Madeline R. Luth, Erich Hellemann…·Elizabeth A. Winzeler

The paper identifies genetic determinants of chemical resistance in yeast using in vitro evolution and whole genome sequencing, revealing key transcription factors involved in drug resistance.

4 citations

yeastwhole-genome sequencing

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Systems BiologyBeilstein Journal of Organic ChemistryPeer-reviewedOct 27, 2020

A consensus-based and readable extension of Linear Code for Reaction Rules (LiCoRR)

Benjamin P. Kellman, Yujie Zhang, Emma Logomasini…·Nathan E. Lewis

This paper extends Linear Code to represent reaction rules in glycobiology, aiming to improve consistency and interoperability in glycan synthesis models.

17 citations

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