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Nanoscale programming of cellular and physiological phenotypes: inorganic meets organic programming
Nikolay V. Dokholyan
Department of Pharmacology
Department of Biochemistry and Molecular Biology
Penn State Cancer Institute
Penn State Neuroscience Institute
Cancer Institute, Next-Generation Therapies
Penn State Clinical and Translational Science Institute (CTSI)
Center for Cannabis and Natural Product Pharmaceuticals (CCNPP)
Research output
:
Contribution to journal
›
Review article
›
peer-review
7
Scopus citations
Overview
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Mathematics
Phenotype
100%
Programming
77%
Computing
51%
Biological Systems
31%
Protein
28%
Biology
27%
Autonomous Vehicles
24%
Signaling Pathways
21%
Cell
20%
Molecules
13%
Human
12%
Logic
10%
Chain
10%
Output
10%
Language
9%
Design
8%
Engineering & Materials Science
Biological systems
95%
Proteins
75%
Synthetic biology
61%
Logic gates
49%
Autonomous vehicles
43%
Electric sparks
41%
Molecules
40%
Cells
40%
Medicine & Life Sciences
Programming Languages
61%
Synthetic Biology
57%
Phenotype
49%
Growth
41%
Proteins
30%
Technology
27%
Therapeutics
6%
Chemical Compounds
Protein
34%
Molecule
28%
Application
25%