iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites (Q62729918)

4

object named as

Tatsuya Akutsu

0 references

Kuo-Chen Chou

7

object named as

Kuo-Chen Chou

0 references

author name string

Jiangning Song

1

0 references

Yanan Wang

2

0 references

Fuyi Li

3

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Neil D Rawlings

Briefings in Bioinformatics

5

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language of work or name

English

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publication date

19 April 2018

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25 March 2019

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8 April 2021

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8 April 2021

Creative Commons Attribution 4.0 International

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Europe PubMed Central

Amino acid substitution matrices from protein blocks

8 April 2021

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Proteome-derived, database-searchable peptide libraries for identifying protease cleavage sites

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Calpain cleavage prediction using multiple kernel learning.

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Identifying and quantifying proteolytic events and the natural N terminome by terminal amine isotopic labeling of substrates

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12 December 2020

CD-HIT: accelerated for clustering the next-generation sequencing data

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12 December 2020

PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites

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12 December 2020

iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

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12 December 2020

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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12 December 2020

Some remarks on predicting multi-label attributes in molecular biosystems

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12 December 2020

hCKSAAP_UbSite: improved prediction of human ubiquitination sites by exploiting amino acid pattern and properties

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12 December 2020

Incorporating key position and amino acid residue features to identify general and species-specific Ubiquitin conjugation sites.

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12 December 2020

pLogo: a probabilistic approach to visualizing sequence motifs.

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12 December 2020

iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins

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12 December 2020

Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets.

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12 December 2020

PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.

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12 December 2020

iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition

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12 December 2020

Network analyses reveal pervasive functional regulation between proteases in the human protease web

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12 December 2020

iNitro-Tyr: prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition

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12 December 2020

Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features

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12 December 2020

PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions

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12 December 2020

UniProt: a hub for protein information

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12 December 2020

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition

1 reference

12 December 2020

Pericellular proteolysis in cancer

1 reference

12 December 2020

Prediction of β-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine

1 reference

12 December 2020

repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects

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12 December 2020

Impacts of bioinformatics to medicinal chemistry

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12 December 2020

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

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12 December 2020

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

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12 December 2020

CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events

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12 December 2020

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12 December 2020

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12 December 2020

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

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12 December 2020

Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.

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12 December 2020

Prediction of Protein Submitochondrial Locations by Incorporating Dipeptide Composition into Chou's General Pseudo Amino Acid Composition

1 reference

12 December 2020

pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach.

1 reference

12 December 2020

Periscope: quantitative prediction of soluble protein expression in the periplasm of Escherichia coli

1 reference

12 December 2020

iACP: a sequence-based tool for identifying anticancer peptides

1 reference

12 December 2020

iRSpot-EL: identify recombination spots with an ensemble learning approach

1 reference

12 December 2020

Analysis and comparison of lignin peroxidases between fungi and bacteria using three different modes of Chou's general pseudo amino acid composition

1 reference

12 December 2020

iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition

1 reference

12 December 2020

GlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

1 reference

12 December 2020

iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.

1 reference

12 December 2020

Unb-DPC: Identify mycobacterial membrane protein types by incorporating un-biased dipeptide composition into Chou's general PseAAC.

1 reference

12 December 2020

Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods

1 reference

12 December 2020

Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features

1 reference

12 December 2020

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.

1 reference

12 December 2020

An Unprecedented Revolution in Medicinal Chemistry Driven by the Progress of Biological Science

1 reference

12 December 2020

iPreny-PseAAC: identify C-terminal cysteine prenylation sites in proteins by incorporating two tiers of sequence couplings into PseAAC.

1 reference

12 December 2020

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.

1 reference

12 December 2020

2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

1 reference

12 December 2020

pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.

1 reference

12 December 2020

Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites

1 reference

12 December 2020

pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC.

1 reference

12 December 2020

PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection

1 reference

12 December 2020

iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.

1 reference

12 December 2020

pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites.

1 reference

12 December 2020

PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.

1 reference

12 December 2020

Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC.

1 reference

12 December 2020

B-factor profile prediction for RNA flexibility using support vector machines.

1 reference

12 December 2020

BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches

1 reference

12 December 2020

A Novel Modeling in Mathematical Biology for Classification of Signal Peptides.

1 reference

12 December 2020

iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC.

1 reference

12 December 2020

iFeature: a python package and web server for features extraction and selection from protein and peptide sequences.

1 reference

12 December 2020

journals/bib/SongWLARWC19

Identifiers

DOI

10.1093/BIB/BBY028

0 references

DBLP publication ID

1 reference