Predicting Human Enzyme Family Classes by Using Pseudo Amino Acid Composition

By  

Current Proteomics, Vol. 13, Iss. 2, 2016-06 ,pp. : 99-104

Bentham Science Publishers

Access to resources Recommend Favorite

Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition

By Shi J.-Y.   Zhang S.-W.   Pan Q.   Cheng Y.-M.   Xie J.  

Amino Acids, Vol. 33, Iss. 1, 2007-07 ,pp. : 69-74

Springer Publishing Company

Access to resources Recommend Favorite

A Homology and Pseudo Amino Acid Composition-based Multi-label Model for Predicting Human Membrane Protein Types

By  

Current Proteomics, Vol. 15, Iss. 2, 2018-03 ,pp. : 135-141

Bentham Science Publishers

Access to resources Recommend Favorite

Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution

By Shi J.-Y.  

Amino Acids, Vol. 35, Iss. 2, 2008-08 ,pp. : 321-327

Springer Publishing Company

Access to resources Recommend Favorite

Identification of an EDG7 Variant, HOFNH30, a G-Protein-Coupled Receptor for Lysophosphatidic Acid

By Fitzgerald L.R.   Dytko G.M.   Sarau H.M.   Mannan I.J.   Ellis C.   Lane P.A.   Tan K.B.   Murdock P.R.   Wilson S.   Bergsma D.J.   Ames R.S.   Foley J.J.   Campbell D.A.   McMillan L.   Evans N.   Elshourbagy N.A.   Minehart H.   Tsui P.  

Biochemical and Biophysical Research Communications, Vol. 273, Iss. 3, 2000-07 ,pp. : 805-810

Elsevier

Access to resources Recommend Favorite