MMM-QSAR Recognition of Ribonucleases without Alignment: Comparison with an HMM Model and Isolation from Schizosaccharomyces pombe, Prediction, and Experimental Assay of a New Sequence
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Summary
The present results suggest that MMM-QSAR models may be used for protein function annotation avoiding sequence alignment with the same accuracy of classic HMM models.
- Type
- review
- Published
- 2008-02-01
- Cited by
- 38
- References
- 183
- OpenAlex
- https://openalex.org/W18254616
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13363384
Keywords
Psychology
References
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Cited by
- A Graphical and Numerical Approach for Functional Annotation and Phylogenetic Inference
- Experimental and computational studies of fatty acid distribution networks.
- Graphical representation and mathematical characterization of protein sequences and applications to viral proteins
- Numerical Characterization of Protein Sequences and Application to Voltage-Gated Sodium Channel α Subunit Phylogeny
- Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors
- TI2BioP: Topological Indices to BioPolymers. Its practical use to unravel cryptic bacteriocin-like domains
- The Rücker-Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics
- Study of peptide fingerprints of parasite proteins and drug–DNA interactions with Markov-Mean-Energy invariants of biopolymer molecular-dynamic lattice networks
- New descriptors of amino acids and their application to peptide QSAR study.
- QSAR for RNases and theoretic–experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein
- HP-Lattice QSAR for dynein proteins: experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence.
- 3-D maps and coupling numbers for protein sequences
- On the information expressed in enzyme structure: more lessons from ribonuclease A
- Information Properties of Naturally-Occurring Proteins: Fourier Analysis and Complexity Phase Plots
- Detection of selective cationic amphipatic antibacterial peptides by Hidden Markov models.
- Using entropy of drug and protein graphs to predict FDA drug-target network: theoretic-experimental study of MAO inhibitors and hemoglobin peptides from Fasciola hepatica.
- A Short Survey on Genetic Sequences, Chou’s Pseudo Amino Acid Composition and its Combination with Fuzzy Set Theory
- An Alignment-Free Approach for Eukaryotic ITS2 Annotation and Phylogenetic Inference
- On the information expressed in enzyme primary structure: lessons from Ribonuclease A
- A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets.
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