|
[1]
|
An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2022
DOI:10.1109/TCBB.2020.3037465
|
|
|
|
|
[2]
|
The Development and Progress in Machine Learning for Protein Subcellular Localization Prediction
The Open Bioinformatics Journal,
2022
DOI:10.2174/18750362-v15-e2208110
|
|
|
|
|
[3]
|
An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2022
DOI:10.1109/TCBB.2020.3037465
|
|
|
|
|
[4]
|
iPhosD-PseAAC: Identification of phosphoaspartate sites in proteins using statistical moments and PseAAC
BIOCELL,
2021
DOI:10.32604/biocell.2021.013770
|
|
|
|
|
[5]
|
NPalmitoylDeep-PseAAC: A Predictor of N-Palmitoylation Sites in Proteins Using Deep Representations of Proteins and PseAAC via Modified 5-Steps Rule
Current Bioinformatics,
2021
DOI:10.2174/1574893615999200605142828
|
|
|
|
|
[6]
|
Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2021
DOI:10.1109/TCBB.2020.2968441
|
|
|
|
|
[7]
|
Protein Subcellular Localization Based on Evolutionary Information and Segmented Distribution
Mathematical Problems in Engineering,
2021
DOI:10.1155/2021/8629776
|
|
|
|
|
[8]
|
iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2021
DOI:10.1109/TCBB.2019.2919025
|
|
|
|
|
[9]
|
iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions
Symmetry,
2021
DOI:10.3390/sym13040560
|
|
|
|
|
[10]
|
Identify Lysine Neddylation Sites Using Bi-profile Bayes Feature Extraction via the Chou’s 5-steps Rule and General Pseudo Components
Current Genomics,
2020
DOI:10.2174/1389202921666191223154629
|
|
|
|
|
[11]
|
An insightful 20-year recollection since the birth of pseudo amino acid components
Amino Acids,
2020
DOI:10.1007/s00726-020-02828-1
|
|
|
|
|
[12]
|
An Insightful 10-year Recollection Since the Emergence of the 5-steps Rule
Current Pharmaceutical Design,
2020
DOI:10.2174/1381612825666191129164042
|
|
|
|
|
[13]
|
Predicting Gram-Positive Bacterial Protein Subcellular Location by Using Combined Features
BioMed Research International,
2020
DOI:10.1155/2020/9701734
|
|
|
|
|
[14]
|
Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2020
DOI:10.1109/TCBB.2019.2917429
|
|
|
|
|
[15]
|
Distorted Key Theory and its Implication for Drug Development
Current Proteomics,
2020
DOI:10.2174/1570164617666191025101914
|
|
|
|
|
[16]
|
iPhosS(Deep)-PseAAC: Identify Phosphoserine Sites in Proteins using Deep Learning on General Pseudo Amino Acid Compositions via Modified 5-Steps Rule
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2020
DOI:10.1109/TCBB.2020.3040747
|
|
|
|
|
[17]
|
Predicting LncRNA Subcellular Localization Using Unbalanced Pseudo-k Nucleotide Compositions
Current Bioinformatics,
2020
DOI:10.2174/1574893614666190902151038
|
|
|
|
|
[18]
|
iPhosS(Deep)-PseAAC: Identify Phosphoserine Sites in Proteins using Deep Learning on General Pseudo Amino Acid Compositions via Modified 5-Steps Rule
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
2020
DOI:10.1109/TCBB.2020.3040747
|
|
|
|
|
[19]
|
Predicting Gram‐Positive Bacterial Protein Subcellular Location by Using Combined Features
BioMed Research International,
2020
DOI:10.1155/2020/9701734
|
|
|
|
|
[20]
|
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
Journal of Proteome Research,
2019
DOI:10.1021/acs.jproteome.9b00226
|
|
|
|
|
[21]
|
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
Journal of Proteome Research,
2019
DOI:10.1021/acs.jproteome.9b00226
|
|
|
|
|
[22]
|
The Cradle of Gordon Life Science Institute and Its Development and Driving Force
International Journal of Biology and Genetics,
2019
DOI:10.31829/2692-4242/biogen2019-2(1)-102
|
|
|
|
|
[23]
|
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
Journal of Theoretical Biology,
2019
DOI:10.1016/j.jtbi.2018.12.015
|
|
|
|
|
[24]
|
Prediction of Apoptosis Protein Subcellular Localization with Multilayer Sparse Coding and Oversampling Approach
BioMed Research International,
2019
DOI:10.1155/2019/2436924
|
|
|
|
|
[25]
|
Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation
IEEE Transactions on Image Processing,
2019
DOI:10.1109/TIP.2019.2895455
|
|
|
|
|
[26]
|
Progresses in Predicting Post-translational Modification
International Journal of Peptide Research and Therapeutics,
2019
DOI:10.1007/s10989-019-09893-5
|
|
|
|
|
[27]
|
iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components
Current Genomics,
2019
DOI:10.2174/1389202920666190819091609
|
|
|
|
|
[28]
|
Advances in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
Current Medicinal Chemistry,
2019
DOI:10.2174/0929867326666190507082559
|
|
|
|
|
[29]
|
Metabolism of Oxalate in Humans: A Potential Role Kynurenine Aminotransferase/Glutamine Transaminase/Cysteine Conjugate Betalyase Plays in Hyperoxaluria
Current Medicinal Chemistry,
2019
DOI:10.2174/0929867326666190325095223
|
|
|
|
|
[30]
|
iMethylK-PseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou’s 5-steps Rule
Current Genomics,
2019
DOI:10.2174/1389202920666190809095206
|
|
|
|
|
[31]
|
A Study for Therapeutic Treatment against Parkinson’s Disease via Chou’s 5-steps Rule
Current Topics in Medicinal Chemistry,
2019
DOI:10.2174/1568026619666191019111528
|
|
|
|
|
[32]
|
A Possible Modulation Mechanism of Intramolecular and Intermolecular Interactions for NCAM Polysialylation and Cell Migration
Current Topics in Medicinal Chemistry,
2019
DOI:10.2174/1568026619666191018094805
|
|
|
|
|
[33]
|
Biological Production of (S)-acetoin: A State-of-the-Art Review
Current Topics in Medicinal Chemistry,
2019
DOI:10.2174/1568026619666191018111424
|
|
|
|
|
[34]
|
Impacts of Pseudo Amino Acid Components and 5-steps Rule to Proteomics and Proteome Analysis
Current Topics in Medicinal Chemistry,
2019
DOI:10.2174/1568026619666191018100141
|
|
|
|
|
[35]
|
RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou’s five-step rule
Database,
2019
DOI:10.1093/database/baz131
|
|
|
|
|
[36]
|
iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition
Journal of Theoretical Biology,
2018
DOI:10.1016/j.jtbi.2018.01.008
|
|
|
|
|
[37]
|
Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains
Journal of Theoretical Biology,
2018
DOI:10.1016/j.jtbi.2018.02.008
|
|
|
|
|
[38]
|
Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams
PLOS ONE,
2018
DOI:10.1371/journal.pone.0191900
|
|
|
|
|
[39]
|
Heterodimer Binding Scaffolds Recognition via the Analysis of Kinetically Hot Residues
Pharmaceuticals,
2018
DOI:10.3390/ph11010029
|
|
|
|
|
[40]
|
NucPosPred: predicting species-specific genomic nucleosome positionin g via four different modes of general PseKNC
Journal of Theoretical Biology,
2018
DOI:10.1016/j.jtbi.2018.04.025
|
|
|
|
|
[41]
|
A proteome-wide systems toxicological approach deciphers the interaction network of chemotherapeutic drugs in the cardiovascular milieu
RSC Advances,
2018
DOI:10.1039/C8RA02877J
|
|
|
|
|
[42]
|
BlaPred: Predicting and classifying β-lactamase using a 3-tier prediction system via Chou's general PseAAC
Journal of Theoretical Biology,
2018
DOI:10.1016/j.jtbi.2018.08.030
|
|
|
|
|
[43]
|
Characterization of Novel Lactobacillus fermentum from Curd Samples of Indigenous Cows from Malnad Region, Karnataka, for their Aflatoxin B1 Binding and Probiotic Properties
Probiotics and Antimicrobial Proteins,
2018
DOI:10.1007/s12602-018-9479-7
|
|
|
|
|
[44]
|
LAIPT: Lysine Acetylation Site Identification with Polynomial Tree
International Journal of Molecular Sciences,
2018
DOI:10.3390/ijms20010113
|
|
|
|
|
[45]
|
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou’s PseAAC
IEEE Access,
2018
DOI:10.1109/ACCESS.2018.2876656
|
|
|
|