Michelle P. Aranha - Concepedia

Author

Michelle P. Aranha

University of Tennessee at Knoxville ORCID

Also Known As

Michelle Aranha, Michelle P Aranha, Michelle P. Aranha

Publications

194

Citations

H-Index

Concepts

All Affiliations

University of Tennessee at Knoxville Oak Ridge National Laboratory Massachusetts General Hospital Dana-Farber Cancer Institute University of Tennessee Health Science Center

About

Michelle P. Aranha is an author at University of Tennessee at Knoxville specializing in medicine, immunotherapy, and immunology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	4	4	101
2	Immunology	3	3	78
3	Microbiology	2	2	22
4	Natural Sciences	1	1	23
5	Allergy	1	1	56

Michelle P. Aranha

Publications

163

Citations

H-Index

Page 1

	Year	Citations
Immune biomarkers of response to immunotherapy in patients with high-risk smoldering myeloma Romanos Sklavenitis‐Pistofidis, Michelle P. Aranha, Robert Redd, Cancer Cell Immune BiomarkersHematological MalignancyCancer ImmunosurveillanceAllergyAutoimmune Disease	2022	56
Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature sets Michelle P. Aranha, Catherine Spooner, Omar Demerdash, Biochimica et Biophysica Acta (BBA) - General Subjects MedicineNatural SciencesPeptide LibraryComputational BiologyMolecular Biology	2020	23
Design of Broadly Cross-Reactive M Protein–Based Group A Streptococcal Vaccines Michelle P. Aranha, Thomas Penfound, Sanaz Salehi, The Journal of Immunology	2021	15
An Atomistic Molecular Dynamics Study of Titanium Dioxide Adhesion to Lipid Bilayers Michelle P. Aranha, Dibyendu Mukherjee, Loukas Petridis, Langmuir	2020	14
Structure-based group A streptococcal vaccine design: Helical wheel homology predicts antibody cross-reactivity among streptococcal M protein–derived peptides Michelle P. Aranha, Thomas A. Penfound, Jay Spencer, Journal of Biological Chemistry Microbial PathogensImmunologyMolecular BiologyImmunodominanceSurface M Protein	2020	12
Single-cell RNA sequencing defines distinct disease subtypes and reveals hypo-responsiveness to interferon in asymptomatic Waldenstrom’s Macroglobulinemia Romanos Sklavenitis‐Pistofidis, Yoshinobu Konishi, Daniel Heilpern-Mallory, Nature Communications	2025	12
Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide–MHC Binding Predictions Michelle P. Aranha, Yead S. M. Jewel, Robert A. Beckman, The Journal of Immunology	2020	11
Cross-reactive immunogenicity of group A streptococcal vaccines designed using a recurrent neural network to identify conserved M protein linear epitopes Jay Spencer, T. A. Penfound, Sanaz Salehi, Vaccine VaccinationReverse VaccinologyMedicineVaccine TargetPathogenesis	2021	10
Deeper response predicts better outcomes in high-risk-smoldering-myeloma: results of the I-PRISM phase II clinical trial Omar Nadeem, Michelle P. Aranha, Robert Redd, Nature Communications	2025	10

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