Pages that link to "Item:Q2632389"
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The following pages link to Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via ames test (Q2632389):
Displaying 11 items.
- Precision assessment of some supervised and unsupervised algorithms for genotype discrimination in the genus \textit{pisum} using SSR molecular data (Q1664568) (← links)
- PSSM-Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction (Q1701598) (← links)
- pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC (Q1712835) (← links)
- QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors (Q1715220) (← links)
- Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses (Q1715312) (← links)
- iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (Q1716822) (← links)
- Identifying anticancer peptides by using a generalized chaos game representation (Q1738032) (← links)
- Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping (Q2415541) (← links)
- Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM (Q2415560) (← links)
- Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology (Q2415583) (← links)
- Transmission of intra-cellular genetic information: a system proposal (Q2415671) (← links)
