Machine Learning Approaches to Modeling the Physiochemical Properties of Small Peptides
Peptide and protein sequences are most commonly represented as a strings: a series of letters selected from the twenty character alphabet of abbreviations for the naturally occurring amino acids. Here, we experiment with representations of small peptide sequences that incorporate more physiochemical...
Main Authors: | Jensen, Kyle, Styczynski, Mark, Stephanopoulos, Gregory |
---|---|
Format: | Article |
Language: | English |
Published: |
2005
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/30388 |
Similar Items
-
Review article on impact of groundwater contamination due to dumpsites using geophysical and physiochemical methods
by: Wilfred Nwabueze Igboama, et al.
Published: (2022-04-01) -
AQUIFER CHARACTERIZATION AND PHYSIOCHEMICAL ANALYSIS OF DISTRICT DERA GHAZI KHAN PUNJAB, PAKISTAN
by: Waqas Shafiq, et al.
Published: (2021-01-01) -
Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques
by: Hossein Khabbaz, et al.
Published: (2021-11-01) -
ASSESSMENT OF HEAVY METAL CONCENTRATION PRESENT IN SUBSURFACE WATER DUE TO SOLID WASTE DUMPING
by: K. PRASANNA, et al.
Published: (2018-11-01) -
Effect of Irrigation by Waste Water on Accumulation of Heavy Metals in Soil and Plant.
by: Khalida A. K. Hassan, et al.
Published: (2015-09-01)