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■ Abbreviation / Long Form : AAC / amino acid composition

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Total Number of Papers: 41
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Abbreviation:   AAC  (>> Co-occurring Abbreviation)
Long Form:   amino acid composition
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No. Year Title Co-occurring Abbreviation
2019 An Integrated-OFFT Model for the Prediction of Protein Secondary Structure Class. EIIP, OFFT, SVM
2019 Characterization and identification of lysine glutarylation based on intrinsic interdependence between positions in the substrate sites. AAPC, CKSAAP, MCC, MDD, SVM
2019 dForml(KNN)-PseAAC: Detecting formylation sites from protein sequences using K-nearest neighbor algorithm via Chou's 5-step rule and pseudo components. AAI, BPF
2019 TargetDBP: Accurate DNA-Binding Protein Prediction via Sequence-based Multi-View Feature Learning. DBPs
2018 Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy. CPPs, MLCPPs, PCPs
2017 A New Scheme to Characterize and Identify Protein Ubiquitination Sites. AAPC, SVM
2017 Amino acid composition analysis of human secondary transport proteins and implications for reliable membrane topology prediction. ---
2017 CarSite: identifying carbonylated sites of human proteins based on a one-sided selection resampling method. CHHAA, CKSAAP, OSS, PSAAP
2017 DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins. ACF, CTD, DPC, PAAC, SVM
10  2017 Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features. AAPC, ASA, CO, PSSM, PTM, PWM, ROS
11  2017 MDD-Palm: Identification of protein S-palmitoylation sites with substrate motifs based on maximal dependence decomposition. AAPC, ASA, MCC, MDD, MDD-Palm, PSSM, PWM, SVM
12  2017 NovoExD: De novo Peptide Sequencing for ETD/ECD Spectra. MS/MS
13  2016 Identifying anticancer peptides by using improved hybrid compositions. acACS, RAAC, SVM
14  2016 SOHSite: incorporating evolutionary information and physicochemical properties to identify protein S-sulfenylation sites. AAPC, ASA, PSSM, PTM, PWM, SVM
15  2016 UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines. MCC, PSSM, PWM, SASA, SVM
16  2015 A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines. CGR, FD, GPCRs, MCC, SVM
17  2015 Accurate prediction of nuclear receptors with conjoint triad feature. CGR, CTF, NRs
18  2015 Amino acid composition analysis of secondary transport proteins from Escherichia coli with relation to functional classification, ligand specificity and structure. ---
19  2015 Global Shifts in Genome and Proteome Composition Are Very Tightly Coupled. ---
20  2015 Identify five kinds of simple super-secondary structures with quadratic discriminant algorithm based on the chemical shifts. ANOVA, CSs, QDA, SVM
21  2014 Identification and characterization of lysine-methylated sites on histones and non-histone proteins. ASA, PTM, SVM
22  2014 NovoHCD: de novo peptide sequencing from HCD spectra. HCD
23  2013 T3_MM: a Markov model effectively classifies bacterial type III secretion signals. ---
24  2012 A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins. DC, MCC, SVM
25  2012 Reduction in database search space by utilization of amino acid composition information from electron transfer dissociation and higher-energy collisional dissociation mass spectra. ETD, HCD, MS/MS
26  2011 High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles. SVM
27  2011 Investigation and identification of protein gamma-glutamyl carboxylation sites. ASA, Gla, Glu, PWM, SVM
28  2011 SSPred: A prediction server based on SVM for the identification and classification of proteins involved in bacterial secretion systems. DPC, PCC, SVM
29  2011 Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context. CTF, EC, MCC, SVM, SVMHL
30  2010 Predicting a protein's melting temperature from its amino acid sequence. ANFIS, ANN, PseudoAAC
31  2009 Exploiting amino acid composition for predicting protein-protein interactions. ---
32  2009 On transversal hydrophobicity of some proteins and their modules. aa, GPCRs, MSA, TPR
33  2008 Improved prediction of subcellular location for apoptosis proteins by the dual-layer support vector machine. Am-Pse-AAC, DPC, SVM
34  2008 ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization. GO, SVM
35  2008 Protein structural class prediction based on an improved statistical strategy. AAA, AAF, CCM, LTC, PSC
36  2008 Using the concept of Chou's pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy. ApEn, FKNN, PseAA, PSO
37  2006 EHPred: an SVM-based method for epoxide hydrolases recognition and classification. DPC, EHs, MCC, PAAC, SVMs
38  1997 Convergence of amino acid compositions of certain groups of protein aids in their identification on two-dimensional electrophoresis gels. pI, PI
39  1996 Proteins and their amino acid compositions: uniqueness, variability, and applications. AAC-PI
40  1996 Two-dimensional gel electrophoresis of Escherichia coli homogenates: the Escherichia coli SWISS-2DPAGE database. IPG
41  1986 Evidence that the amino acid composition of the particle proteins of plant viruses is characteristic of the virus group. II. Discriminant analysis according to structural biological and classification properties of plant viruses. CPs