Author

K. Saxena

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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Biochemistry· 3 Biophysics· 2 Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Research Focus:drug response / drug discovery· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Assay:proteomics· 2 Approach:biophysical modeling· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1

Frequent Co-Authors

B. S. Ahluwalia· 2 shared D. S. Mehta· 2 shared J.-C. Tinguely· 2 shared S. Das· 2 shared S. Knapp· 2 shared S. Mueller· 2 shared T. Hanke· 2 shared A. ...· 1 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBiophysics

B. S. Ahluwalia

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Author profile →

7 papers

Recent·Most cited

Refining Spatial Proteomics by Mass Spectrometry: An Efficient Workflow Tailored for Archival Tissue

R. Daucke, C. V. Rift, N. S. Bager, K. Saxena, P. R. Koffeldt, J. Woessmann, V. Petrosius, E. S. Rugiu, B. W. Kristensen, P. Klausen, E. M. Schoof

This paper develops an efficient workflow for spatial proteomics on FFPE tissue using low-input material, showing that EpCAM staining improves protein identification compared to H&E staining.

BMC Methods · Apr 22, 2026Peer-reviewedBioengineering

Back-pocket optimization of 2-aminopyrimidine-based macrocycles leads to potent dual EPHA2/GAK kinase inhibitors with antiviral activity

J. Gerninghaus, R. Zhubi, A. Kraemer, M. Karim, D. H. N. Tran, A. C. Joerger, C. Schreiber, L. M. Berger, B. T. Berger, T. A. L. Ehret, L. Elson, C. Lenz, K. Saxena, S. Mueller, S. Einav, , T. Hanke

The paper optimizes a 2-aminopyrimidine-based macrocycle to create a dual EPHA2/GAK kinase inhibitor with antiviral activity against dengue virus.

bioRxiv · Feb 18, 2024 · PreprintBiochemistry

Targeting LC3/GABARAP for degrader development and autophagy modulation

M. P. Schwalm, J. Dopfer, A. Kumar, F. A. Greco, N. Bauer, F. Loehr, J. Heering, S. Cano, S. Lechner, T. Hanke, I. Bekic, V. Morasch, D. Fearon, P. G. Marples, C. W. E. Tomlinson, , V. V. Rogov

The paper evaluates the druggability of LC3/GABARAP for autophagy modulators and identifies ligands that bind to the HP2 pocket of the LIR docking site.

bioRxiv · Oct 5, 2023 · PreprintBiochemistry

Honeycomb-inspired SERS nano-bowls for rapid capture and analysis of extracellular vesicles and liposomes in suspension

S. Das, J.-C. Tinguely, S. A. O. Obuobi, E. M. Guerreiro, N. Skalko-Basnet, O. Snir, K. Saxena, B. S. Ahluwalia, D. S. Mehta

This paper develops SERS nano-bowls for capturing and analyzing extracellular vesicles and liposomes in suspension, demonstrating improved detection and spectral characterization.

bioRxiv · May 18, 2023 · PreprintBiophysics

SERS nanowire chip and machine learning enabled instant identification and classification of clinically relevant wild-type and antibiotic resistant bacteria at species and strain level

S. Das, K. Saxena, J.-C. Tinguely, A. Pal, N. L. Wickramasinghe, A. Khezri, V. K. Dubey, A. Ahmad, P. Vivekanandan, R. Ahmad, D. N. Wadduwage, B. S. Ahluwalia, D. S. Mehta

This paper develops a SERS chip combined with machine learning to rapidly identify and classify bacteria at species and strain levels, including antibiotic-resistant strains.

bioRxiv · Jan 12, 2023Biophysics

Plasmodium DDI1 is a potential therapeutic target and important chromatin-associated protein

N. Tanneru, M. A. Nivya, N. Adhikari, K. Saxena, Z. Rizvi, R. Sudhakar, A. K. Nagwani, A. ..., F. M. A. Al-Nihmi, K. Arun Kumar, P. S. Sijwali

This study identifies Plasmodium DDI1 as a potential therapeutic target for malaria, showing its role in parasite survival and DNA repair, and its susceptibility to HIV protease inhibitors and antimalarials.

bioRxiv · Oct 29, 2021 · PreprintCell Biology

Distinct metabolic states of a cell guide alternate fates of mutational buffering through altered proteostasis

K. Verma, K. Saxena, R. Donaka, A. Chaphalkar, M. K. Rai, A. Shukla, Z. Zaidi, R. Dandage, D. Shanmugam, K. Chakraborty

The paper shows that metabolic states in E. coli influence proteostasis and mutational buffering through metabolite-dependent chaperone assistance, not increased chaperone levels.

bioRxiv · Mar 20, 2020Biochemistry