Author

Austė Kanapeckaitė

Galapagos (Belgium)ORCID 0000-0001-6829-4082Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

Frequent Co-Authors

Andrea Townsend‐NicholsoniD· 1 shared Birutė BrasiūnienėiD· 1 shared David WaggiD· 1 shared Indrė Sakalauskaitė· 1 shared Jan KösteriD· 1 shared Ligita JančorienėiD· 1 shared Neringa Burokienė· 1 shared Sarper OkuyaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 21 mutual co-author links

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1 shared paperPharmacology & Toxicology

Andrea Townsend‐NicholsonORCID

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3 papers

Recent·Most cited

Pharmacology & ToxicologyJournal of Chemical Information and ModelingPeer-reviewedJan 28, 2026

Fragment-Guided New Therapeutic Molecule Discovery and Mapping of Clinically Relevant Interactomes

Austė Kanapeckaitė, Sarper Okuyan, David Wagg…·Andrea Townsend‐Nicholson

This study uses a self-adjusting neural network to discover new therapeutic molecules and map interactomes for JAK2 and GLP-1R, revealing insights into drug-target binding and metabolic trajectories.

DOI 10.1021/acs.jcim.5c02503

deep learningdrug response / drug discovery

𝕏 PostBluesky

BioinformaticsArtificial Intelligence in the Life SciencesPeer-reviewedNov 26, 2021

Fiscore Package: Effective Protein Structural Data Visualisation and Exploration

Austė Kanapeckaitė

Fiscore is an R package that provides tools for visualizing and exploring protein structural data using Gaussian mixture modeling and interactive environments.

2 citations

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 15, 2020

Novel insights into potential therapeutic targets and biomarkers using integrated multi-omics approaches for dilated and ischemic cardiomyopathies

Austė Kanapeckaitė, Neringa Burokienė

This study integrates bulk and single-cell RNA-sequencing with proteomics to identify therapeutic targets and biomarkers for dilated and ischemic cardiomyopathies using machine learning and network analysis.

DOI 10.1101/2020.12.15.422946

humanbulk RNA-seq

𝕏 PostBluesky