Author

Amir Shahmoradi

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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Bioinformatics· 1 Cancer Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:virus· 1

Frequent Co-Authors

Aleksandra Karolak· 1 shared Austin G. Meyer· 1 shared Claus O Wilke· 1 shared Claus O. WilkeiD· 1 shared Daniel Abate-Daga· 1 shared Dariya K. SydykovaiD· 1 shared Eleisha L. Jackson· 1 shared Eric T. Dawson· 1 shared

Activity by Year

2014-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperCancer Biology

Aleksandra Karolak

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Enhancing synergy of CAR T cell therapy and oncolytic virus therapy for pancreatic cancer.

Rachel Walker, Pedro E. Navas, Samuel H. Friedman, Simona Galliani, Aleksandra Karolak, Fiona Macfarlane, Robert Noble, Jan Poleszczuk, Shonagh Russell, Katarzyna A. Rejniak, Amir Shahmoradi, Frederik Ziebell, Jason Brayer, Daniel Abate-Daga, Heiko Enderling

This study evaluates how combining oncolytic virus therapy with CAR T cell therapy can improve pancreatic cancer treatment using mathematical models.

bioRxiv · May 30, 2016 · PreprintCancer Biology

Dissecting the roles of local packing density and longer-range effects in protein sequence evolution

Amir Shahmoradi, Claus O Wilke

The paper investigates the structural factors influencing protein sequence evolution, showing that local packing density and solvent accessibility both contribute to site-specific evolutionary rates, with additional variation explained by longer-range effects.

bioRxiv · Jul 30, 2015Bioinformatics

Predicting evolutionary site variability from structure in viral proteins: buriedness, packing, flexibility, and design

Amir Shahmoradi, Dariya K. Sydykova, Stephanie J. Spielman, Eleisha L. Jackson, Eric T. Dawson, Austin G. Meyer, Claus O. Wilke

The paper evaluates how structural properties predict evolutionary sequence variation in viral proteins and finds that buriedness and packing density are better predictors than flexibility or design-based measures.

bioRxiv · Jul 21, 2014Evolutionary Biology