PseAAC-Builder: a cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions.
about
Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system modeliSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid compositioniGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networkingiNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid compositioniCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channelsiEzy-drug: a web server for identifying the interaction between enzymes and drugs in cellular networkingiSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteinsPretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approachiSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition.iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid compositioniDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositioniPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition.iPTM-mLys: identifying multiple lysine PTM sites and their different types.Presep: predicting the propensity of a protein being secreted into the supernatant when expressed in Pichia pastoris.PaPI: pseudo amino acid composition to score human protein-coding variants.Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation.Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences.Environmental genes and genomes: understanding the differences and challenges in the approaches and software for their analyses.Comparison of genomic data via statistical distribution.An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.Construction of the High-Density Genetic Linkage Map and Chromosome Map of Large Yellow Croaker (Larimichthys crocea).Protein Sub-Nuclear Localization Based on Effective Fusion Representations and Dimension Reduction Algorithm LDA.iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide compositionNaïve Bayes classifier with feature selection to identify phage virion proteinsQuaBingo: A Prediction System for Protein Quaternary Structure Attributes Using Block CompositionProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble ClassifieriCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid componentsPseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets.iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking.Predicting multisite protein subcellular locations: progress and challenges.Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.Predicting protein lysine phosphoglycerylation sites by hybridizing many sequence based features.iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory.Prediction and identification of the effectors of heterotrimeric G proteins in rice (Oryza sativa L.).
P2860
Q28485324-BCCC6028-A620-4984-9121-B54827744E8CQ28486031-073345BC-621D-45AD-BE6D-C64BED443510Q28535719-56E68D91-E110-4C8D-8FBE-1F2A096CF9A4Q28541975-85CE4C78-997B-4E19-99EE-CA26729DBEBEQ28658162-411B8828-6447-41DA-AA5B-DC51F3D341D7Q28661179-6D6DF9B7-9A6F-4AF5-AF8E-82659B2DC454Q28675957-77DB126D-6784-4524-919D-1B87FD77559FQ30398185-C8434FD2-CE43-4334-8101-1FE6317F5275Q33633983-C77A7430-E02F-4BA9-9F05-23ABCD706641Q33745509-A7EE546B-ADEB-44BF-A45C-E3306FBC8CC4Q33747883-E49250FC-8532-489B-AFCB-D8B853586F76Q33755615-C89160FB-F3EE-48CF-8ABA-D6215B6A3821Q34128762-F57C9C2A-F0D9-4234-B52F-7311F05FC5A6Q34579675-DA5FE158-6147-4F4C-B9EC-F041166112DDQ34677601-7AF2D8D1-8144-424A-AA19-3ED0578D382CQ35053239-49D4F188-75C8-4949-9731-76CD3AD16509Q35619329-F61DF0AB-6AA7-426D-93DA-ADC02C7A3389Q35723516-FA8113F8-C756-4A07-BF44-6AEF0C569DC4Q35810290-5DC9E260-11DD-4E45-97AE-F0A77CC537E2Q36060603-4282C8AA-380E-420E-964F-D47D31FCC1F5Q36086528-DEB9F83C-6134-472F-B83E-8FFBB6A413CFQ36184079-8E1404B7-504F-4BD8-8E23-1E7E6807D2A2Q36324502-A966421E-DF86-40C9-BF33-FA5AAECDBC1AQ36404349-B40773AA-B2FD-4D0A-B30D-7F96B5D11B60Q36740900-459E14EA-5F0D-4D95-8DD8-2E5C51504F76Q36898465-0B6BD255-AB9E-4057-B251-D9698D4D0639Q37219176-B93D28D6-D91E-4606-9CDF-11ED49333E46Q37253984-0548AE28-9CD1-40C1-9DE1-FC4C7012B298Q37376337-8B93580A-8F65-4D30-86B9-7CDCE47CD893Q37536872-3CF4EC5B-6F05-4C4D-BFFA-9B30928CCCACQ37588275-2E6572D5-EDC9-4321-AC7E-70ED3C803CCBQ37645097-A319F63E-477B-4A27-9581-C4BA0A863C46Q37683961-91071D9F-F3F4-43FD-803A-C7B3C7B562AEQ37684124-9B44EFA3-4C99-463E-BA41-70C4495A1F68Q38115328-56AD2DBD-264D-428D-8599-733F0ACDBB69Q38471324-4C3EF515-DE23-4FD5-9AA0-66C4EFC8E93FQ38534551-1DDA2CFD-13E8-45CD-97A2-1028BDC2F9BCQ38732163-43AAF43B-512A-4E54-A879-04141871CF94Q38794654-779F6C43-A248-4ABF-B6CE-B6F1CAE99007Q38896029-22FB4FBC-B39B-42D3-B218-05A94851BDB4
P2860
PseAAC-Builder: a cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մարտին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@ast
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@en
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@nl
type
label
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@ast
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@en
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@nl
prefLabel
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@ast
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@en
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@nl
P2093
P356
P1476
PseAAC-Builder: a cross-platfo ...... seudo-amino acid compositions.
@en
P2093
P304
P356
10.1016/J.AB.2012.03.015
P407
P577
2012-03-27T00:00:00Z