Accurate Prediction of Anti-hypertensive Peptides Based on Convolutional Neural Network and Gated Recurrent unit

PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule

(2021) Jiesheng Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

DeepEBV: A deep learning model to predict Epstein-Barr virus (EBV) integration sites

(2021) Jiuxing Liang et al.   BIOINFORMATICS

i6mA-VC: A Multi-Classifier Voting Method for the Computational Identification of DNA N6-methyladenine Sites

(2021) Tian Xue et al.   Interdisciplinary Sciences-Computational Life Sciences

UMAP-DBP: An Improved DNA-Binding Proteins Prediction Method Based on Uniform Manifold Approximation and Projection

(2021) Jinyue Wang et al.   PROTEIN JOURNAL

A Deep Ensemble Predictor for Identifying Anti-Hypertensive Peptides Using Pretrained Protein Embedding

(2021) Yuanying Zhuang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

PPTPP: A novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning

(2020) Yu P Zhang et al.   BIOINFORMATICS

DNNAce: Prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion

(2020) Bin Yu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier

(2020) Cheng Chen et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Use Chou’s 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting

(2020) Shengli Zhang et al.   MOLECULAR GENETICS AND GENOMICS

DELPHI: accurate deep ensemble model for protein interaction sites prediction

(2020) Yiwei Li et al.   BIOINFORMATICS

Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features

(2020) Zhixun Zhao et al.   BMC GENOMICS

KD-KLNMF: Identification of lncRNAs subcellular localization with multiple features and nonnegative matrix factorization

(2020) Shengli Zhang et al.   ANALYTICAL BIOCHEMISTRY

DeepMal: Accurate prediction of protein malonylation sites by deep neural networks

(2020) Minghui Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fertility-GRU: Identifying fertility-related proteins by incorporating deep gated recurrent units and original PSSM profiles

(2019) Nguyen Quoc Khanh Le   JOURNAL OF PROTEOME RESEARCH

LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion

(2019) Cheng Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting

(2019) Bin Yu et al.   BIOINFORMATICS

Unified rational protein engineering with sequence-based deep representation learning

(2019) Ethan C. Alley et al.   NATURE METHODS

RBPro-RF: Use Chou’s 5-steps rule to predict RNA-binding proteins via random forest with elastic net

(2019) Xiaomeng Sun et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso

(2019) Yanhao Huo et al.   JOURNAL OF THEORETICAL BIOLOGY

ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides

(2018) Leyi Wei et al.   BIOINFORMATICS

Face recognition based on recurrent regression neural network

(2018) Yang Li et al.   NEUROCOMPUTING

Parsimonious memory unit for recurrent neural networks with application to natural language processing

(2018) Mohamed Morchid   NEUROCOMPUTING

In Silico Approach for Prediction of Antifungal Peptides

(2018) Piyush Agrawal et al.   Frontiers in Microbiology

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

(2018) Leyi Wei et al.   BIOINFORMATICS

PAAP: a web server for predicting antihypertensive activity of peptides

(2018) Thet Su Win et al.   Future Medicinal Chemistry

Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features

(2018) Salman Sadullah Usmani et al.   Frontiers in Pharmacology

DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning

(2018) Yubin Xie et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

(2018) Xiaoying Wang et al.   BIOINFORMATICS

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation

(2018) Balachandran Manavalan et al.   BIOINFORMATICS

Identifying antimicrobial peptides using word embedding with deep recurrent neural networks

(2018) Md-Nafiz Hamid et al.   BIOINFORMATICS

Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure

(2018) Han Shi et al.   GENOMICS

High Throughput Identification of Antihypertensive Peptides from Fish Proteome Datasets

(2018) Yunhai Yi et al.   Marine Drugs

Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA

(2018) Quan Zou et al.   RNA

Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach

(2018) Baoguang Tian et al.   JOURNAL OF THEORETICAL BIOLOGY

BIOPEP database of sensory peptides and amino acids

(2016) Anna Iwaniak et al.   FOOD RESEARCH INTERNATIONAL

iACP: a sequence-based tool for identifying anticancer peptides

(2016) Wei Chen et al.   Oncotarget

Antihypertensive peptides of animal origin: A review

(2015) Zuhaib Fayaz Bhat et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Impacts of Bioinformatics to Medicinal Chemistry

(2015) Kuo-Chen Chou   Medicinal Chemistry

Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor

(2015) Vijayakumar Saravanan et al.   OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY

An in silico platform for predicting, screening and designing of antihypertensive peptides

(2015) Ravi Kumar et al.   Scientific Reports

Molecular Targets of Antihypertensive Peptides: Understanding the Mechanisms of Action Based on the Pathophysiology of Hypertension

(2014) Kaustav Majumder et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Effects of blood pressure lowering on outcome incidence in hypertension

(2014) Costas Thomopoulos et al.   JOURNAL OF HYPERTENSION

AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides

(2014) Ravi Kumar et al.   NUCLEIC ACIDS RESEARCH

Isolation and Characterization of Peptides with Antihypertensive Activity in Foodstuffs

(2013) Patrycja Puchalska et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Computational approach for designing tumor homing peptides

(2013) Arun Sharma et al.   Scientific Reports

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

(2012) Stephen S Lim et al.   LANCET

Antihypertensive activity of peptides identified in the in vitro gastrointestinal digest of pork meat

(2012) Elizabeth Escudero et al.   MEAT SCIENCE

Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences

(2011) Tzong-Yi Lee et al.   BIOINFORMATICS

Antihypertensive peptides: Production, bioavailability and incorporation into foods

(2010) Blanca Hernández-Ledesma et al.   ADVANCES IN COLLOID AND INTERFACE SCIENCE

QSAR study on angiotensin-converting enzyme inhibitor oligopeptides based on a novel set of sequence information descriptors

(2010) Xiaoyu Wang et al.   JOURNAL OF MOLECULAR MODELING