Using over-represented tetrapeptides to predict protein submitochondria locations.
Lin H1, Chen W, Yuan LF, Li ZQ, Ding H.
Acta biotheoretica.Acta Biotheor.2013 Jun;61(2):259-68. doi: 10.1007/s10441-013-9181-9. Epub 2013 Mar 10.
The mitochondrion is a key organelle of eukaryotic cell that provides the energy for cellular activities. Correctly identifying submitochondria locations of proteins can provide plentiful information for understanding their functions. However, using web-experimental methods to recognize submitochond
Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning.
Mei S1.
Journal of theoretical biology.J Theor Biol.2012 Oct 7;310:80-7. doi: 10.1016/j.jtbi.2012.06.028. Epub 2012 Jun 27.
Recent years have witnessed much progress in computational modeling for protein subcellular localization. However, there are far few computational models for predicting plant protein subcellular multi-localization. In this paper, we propose a multi-label multi-kernel transfer learning model for pred
Predicting protein submitochondria locations by combining different descriptors into the general form of Chou's pseudo amino acid composition.
Fan GL1, Li QZ.
Amino acids.Amino Acids.2012 Aug;43(2):545-55. doi: 10.1007/s00726-011-1143-4. Epub 2011 Nov 20.
Knowledge of the submitochondria location of protein is integral to understanding its function and a necessity in the proteomics era. In this work, a new submitochondria data set is constructed, and an approach for predicting protein submitochondria locations is proposed by combining the amino acid
ORIGINAL ARTICLE Predicting protein submitochondria locations by combining different descriptors into the general form of Chou’s pseudo amino acid composition Guo-Liang Fan • Qian-Zhong Li Received: 28 June 2011/Accepted ...