Natural Science

Volume 12, Issue 3 (March 2020)

ISSN Print: 2150-4091   ISSN Online: 2150-4105

Google-based Impact Factor: 0.74  Citations  h5-index & Ranking

Proposing 5-Steps Rule Is a Notable Milestone for Studying Molecular Biology

HTML  XML Download Download as PDF (Size: 191KB)  PP. 74-79  
DOI: 10.4236/ns.2020.123011    734 Downloads   1,431 Views  Citations
Author(s)

ABSTRACT

In this current minireview, the cradle of the “5-steps rule” or “5-step rules”, along with its essence and advances, has been recalled. Born in 2011, its impacts on molecular biology are both substantial and rapid, fully indicating the “5-steps rule” is no double a remarkable and profound milestone in molecular biology.

Share and Cite:

Chou, K.C. (2020) Proposing 5-Steps Rule Is a Notable Milestone for Studying Molecular Biology. Natural Science, 12, 74-79. doi: 10.4236/ns.2020.123011.

Cited by

[1] DNA methylation prediction using reduced features obtained via Gappy Pair Kernel and Partial Least Square
IEEE …, 2022
[2] Lasso regression under stochastic restrictions in linear regression: An application to genomic data
Communications in Statistics-Theory and …, 2022
[3] Identification of intelligence-related proteins through a robust two-layer predictor
… & Integrative Biology, 2022
[4] The significant and profound impacts of Gordon life science institute
2021
[5] The Remarkable impacts of Gordon life science institute
2021
[6] iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
2021
[7] pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
2020
[8] Use Chou's 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting
2020
[9] pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
2020
[10] Using Chou's Five-steps Rule to Classify and Predict Glutathione S-transferases with Different Machine Learning Algorithms and Pseudo Amino Acid Composition
2020
[11] Using Chou's 5-steps rule to identify N6-methyladenine sites by ensemble learning combined with multiple feature extraction methods
2020
[12] pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
2020
[13] Identification of ligand-binding residues using protein sequence profile alignment and query-specific support vector machine model
2020
[14] pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
2020
[15] pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
2020
[16] Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials
2020
[17] iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
2020

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.