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Bio-entity network for analysis of protein-protein interaction networks.
- Published in:
- Asian Journal of Control, 2011, v. 13, n. 5, p. 726, doi. 10.1002/asjc.395
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- Article
iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.
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- Nucleic Acids Research, 2014, v. 42, n. 21, p. 12961, doi. 10.1093/nar/gku1019
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- Article
iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition.
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- Nucleic Acids Research, 2013, v. 41, n. 6, p. e68, doi. 10.1093/nar/gks1450
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- Article
DNAPred_Prot: Identification of DNA-Binding Proteins Using Composition- and Position-Based Features.
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- Applied Bionics & Biomechanics, 2022, p. 1, doi. 10.1155/2022/5483115
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- Article
Some illuminating remarks on molecular genetics and genomics as well as drug development.
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- Molecular Genetics & Genomics, 2020, v. 295, n. 2, p. 261, doi. 10.1007/s00438-019-01634-z
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- Article
repRNA: a web server for generating various feature vectors of RNA sequences.
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- Molecular Genetics & Genomics, 2016, v. 291, n. 1, p. 473, doi. 10.1007/s00438-015-1078-7
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- Article
In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data.
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- Scientific Reports, 2016, p. 36540, doi. 10.1038/srep36540
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- Article
dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation.
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- Scientific Reports, 2016, p. 32333, doi. 10.1038/srep32333
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- Article
Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach.
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- PLoS ONE, 2015, v. 10, n. 3, p. 1, doi. 10.1371/journal.pone.0121501
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- Article
iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition.
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- PLoS ONE, 2014, v. 9, n. 9, p. 1, doi. 10.1371/journal.pone.0106691
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- Article
iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition.
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- PLoS ONE, 2014, v. 9, n. 8, p. 1, doi. 10.1371/journal.pone.0105018
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- Article
iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking.
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- PLoS ONE, 2013, v. 8, n. 8, p. 1, doi. 10.1371/journal.pone.0072234
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- Publication type:
- Article
iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition.
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- PLoS ONE, 2013, v. 8, n. 2, p. 1, doi. 10.1371/journal.pone.0055844
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- Article
Predicting protein quaternary structure by pseudo amino acid composition.
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- Proteins, 2004, v. 55, n. 3, p. 781, doi. 10.1002/prot.20186
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- Article
Identification of the N-terminal functional domains of Cdk5 by molecular truncation and computer modeling.
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- Proteins, 2002, v. 48, n. 3, p. 447, doi. 10.1002/prot.10173
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- Article
Prediction of protein cellular attributes using pseudo-amino acid composition.
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- Proteins, 2001, v. 44, n. 1, p. 60, doi. 10.1002/prot.1072
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- Article
Prediction of protein cellular attributes using pseudo-amino acid composition.
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- Proteins, 2001, v. 43, n. 3, p. 246, doi. 10.1002/prot.1035
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- Article
Prediction of protein signal sequences and their cleavage sites.
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- Proteins, 2001, v. 42, n. 1, p. 136, doi. 10.1002/1097-0134(20010101)42:1<136::AID-PROT130>3.0.CO;2-F
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- Article
Prediction of membrane protein types and subcellular locations.
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- Proteins, 1999, v. 34, n. 1, p. 137, doi. 10.1002/(SICI)1097-0134(19990101)34:1<137::AID-PROT11>3.0.CO;2-O
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- Article
Large-scale plant protein subcellular location prediction.
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- Journal of Cellular Biochemistry, 2007, v. 100, n. 3, p. 665, doi. 10.1002/jcb.21096
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- Article
Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect.
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- Journal of Cellular Biochemistry, 2001, v. 84, n. 2, p. 343, doi. 10.1002/jcb.10030
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- Article
Support vector machines for the classification and prediction of β-turn types.
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- Journal of Peptide Science, 2002, v. 8, n. 7, p. 297, doi. 10.1002/psc.401
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- Article
iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory.
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- Molecular Informatics, 2017, v. 36, n. 5/6, p. n/a, doi. 10.1002/minf.201600010
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- Article
iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC.
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- Molecular Biology Reports, 2018, v. 45, n. 6, p. 2501, doi. 10.1007/s11033-018-4417-z
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- Article
Solitary wave dynamics as a mechanism for explaining the internal motion during microtubule growth.
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- Biopolymers, 1994, v. 34, n. 1, p. 143, doi. 10.1002/bip.360340114
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- Publication type:
- Article
Monte carlo method applied in the search for low-energy conformations of βαβαβ structures.
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- Biopolymers, 1990, v. 30, n. 1/2, p. 135, doi. 10.1002/bip.360300114
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- Article
Collective motion in DNA and its role in drug intercalation.
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- Biopolymers, 1988, v. 27, n. 11, p. 1795, doi. 10.1002/bip.360271109
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- Article
The biological functions of low-frequency vibrations (phonons). VI. A possible dynamic mechanism of allosteric transition in antibody molecules.
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- Biopolymers, 1987, v. 26, n. 2, p. 285, doi. 10.1002/bip.360260209
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- Article
Energetics of multihelix interactions in protein folding: Application to myoglobin.
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- Biopolymers, 1985, v. 24, n. 11, p. 2177, doi. 10.1002/bip.360241113
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- Article
Energetics of multihelix interactions in protein folding: Application to myoglobin.
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- Biopolymers, 1985, v. 24, n. 7, p. 1271, doi. 10.1002/bip.360240714
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- Article
RETRACTED ARTICLE: An insightful 20-year recollection since the birth of pseudo amino acid components.
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- Amino Acids, 2020, v. 52, n. 5, p. 847, doi. 10.1007/s00726-020-02828-1
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- Article
A study on the correlation of G-protein-coupled receptor types with amino acid composition.
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- Protein Engineering, 2002, v. 15, n. 9, p. 713, doi. 10.1093/protein/15.9.713
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- Article
Using subsite coupling to predict signal peptides.
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- Protein Engineering, 2001, v. 14, n. 2, p. 75, doi. 10.1093/protein/14.2.75
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- Article
Predicting human immunodeficiency virus protease cleavage sites in proteins by a discriminant function method.
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- Proteins, 1996, v. 24, n. 1, p. 51, doi. 10.1002/(SICI)1097-0134(199601)24:1<51::AID-PROT4>3.0.CO;2-R
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- Article
A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space.
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- Proteins, 1995, v. 21, n. 4, p. 319, doi. 10.1002/prot.340210406
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- Article
A vector projection method for predicting the specificity of GalNAc-transferase.
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- Proteins, 1995, v. 21, n. 2, p. 118, doi. 10.1002/prot.340210205
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- Article
A vector projection approach to predicting HIV protease cleavage sites in proteins.
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- Proteins, 1993, v. 16, n. 2, p. 195, doi. 10.1002/prot.340160206
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- Article
Energetic approach to the folding of α/β barrels.
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- Proteins, 1991, v. 9, n. 4, p. 280, doi. 10.1002/prot.340090406
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- Article
Energetics of the structure and chain tilting of antiparallel β-barrels in proteins.
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- Proteins, 1990, v. 8, n. 1, p. 14, doi. 10.1002/prot.340080105
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- Publication type:
- Article
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.
- Published in:
- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1047, doi. 10.1093/bib/bbz041
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- Publication type:
- Article
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2150, doi. 10.1093/bib/bby077
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- Publication type:
- Article
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2267, doi. 10.1093/bib/bby089
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- Publication type:
- Article
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2185, doi. 10.1093/bib/bby079
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- Publication type:
- Article
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites.
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- Briefings in Bioinformatics, 2019, v. 20, n. 2, p. 638, doi. 10.1093/bib/bby028
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- Publication type:
- Article
Find novel dual-agonist drugs for treating type 2 diabetes by means of cheminformatics.
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- Drug Design, Development & Therapy, 2013, v. 7, p. 279, doi. 10.2147/DDDT.S42113
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- Article
Proposing Pseudo Amino Acid Components is an Important Milestone for Proteome and Genome Analyses.
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- International Journal of Peptide Research & Therapeutics, 2020, v. 26, n. 2, p. 1085, doi. 10.1007/s10989-019-09910-7
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- Publication type:
- Article
Progresses in Predicting Post-translational Modification.
- Published in:
- International Journal of Peptide Research & Therapeutics, 2020, v. 26, n. 2, p. 873, doi. 10.1007/s10989-019-09893-5
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- Publication type:
- Article
A Two-Level Computation Model Based on Deep Learning Algorithm for Identification of piRNA and Their Functions via Chou's 5-Steps Rule.
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- International Journal of Peptide Research & Therapeutics, 2020, v. 26, n. 2, p. 795, doi. 10.1007/s10989-019-09887-3
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- Publication type:
- Article
Quat-2L: a web-server for predicting protein quaternary structural attributes.
- Published in:
- Molecular Diversity, 2011, v. 15, n. 1, p. 149, doi. 10.1007/s11030-010-9227-8
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- Article
Virus-PLoc: A fusion classifier for predicting the subcellular localization of viral proteins within host and virus-infected cells.
- Published in:
- Biopolymers, 2007, v. 85, n. 3, p. 233, doi. 10.1002/bip.20640
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- Article