CrossRef Text and Data Mining
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.
Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model
Suresh Kumar
Genomics Inform. 2017;15(4):162-169.   Published online December 29, 2017
DOI: https://doi.org/10.5808/GI.2017.15.4.162

Excel Download

Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model
Genomics & Informatics. 2017;15(4):162-169   Crossref logo
Link1 Link2 Link3

Simplified amino acid alphabets based on deviation of conditional probability from random background
Physical Review E. 2002;66(2):   Crossref logo
Link1 Link2

Prediction of presence and absence of two- and three-amino-acid sequences of human monoamine oxidase from its amino acid composition according to the random mechanism
Biomolecular Engineering. 2001;18(1):23-27   Crossref logo
Link1 Link2

Prediction of ��-turns from amino acid sequences using the residue-coupled model
The Journal of Peptide Research. 2008;61(4):159-162   Crossref logo
Link1

Predicting Binding Sites of EH1-like Motifs from Their Amino Acid Sequences
Biophysical Journal. 2009;96(3):651a-652a   Crossref logo
Link1 Link2

Characterization and Prediction of Dengue Virus Targeting Peptides Based on Combined Amino Acid Composition Descriptors Using Random Forest Algorithm.
. 2021;   Crossref logo
Link1 Link2

The evolution of proteins from random amino acid sequences. I. Evidence from the lengthwise distribution of amino acids in modern protein sequences
Journal of Molecular Evolution. 1993;36(1):79-95   Crossref logo
Link1 Link2 Link3

Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models
Amino Acids. 2015;47(7):1485-1493   Crossref logo
Link1 Link2 Link3

Protein Tertiary Structures: Prediction from Amino Acid Sequences
eLS. 2002;   Crossref logo
Link1 Link2 Link3

Generation of deviation parameters for amino acid singlets, doublets and triplets from three-dimensional structures of proteins and its implications for secondary structure prediction from amino acid sequences
Journal of Biosciences. 2000;25(1):81-90   Crossref logo
Link1 Link2 Link3 Link4