NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides

(2021) Phasit Charoenkwan et al.   BIOINFORMATICS

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network

(2021) Fu-Ying Dao et al.   BRIEFINGS IN BIOINFORMATICS

Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators

(2021) Hui Yang et al.   Information Fusion

Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening

(2020) Shaherin Basith et al.   MEDICINAL RESEARCH REVIEWS

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation

(2020) Md. Mehedi Hasan et al.   PLANT MOLECULAR BIOLOGY

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation

(2020) Md Mehedi Hasan et al.   BIOINFORMATICS

The role of neuropeptides in drug and ethanol abuse: Medication targets for drug and alcohol use disorders

(2020) Jessica R. Barson   BRAIN RESEARCH

Prediction of Neuropeptides from Sequence Information Using Ensemble Classifier and Hybrid Features

(2020) Yannan Bin et al.   JOURNAL OF PROTEOME RESEARCH

Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework

(2020) Md Mehedi Hasan et al.   BRIEFINGS IN BIOINFORMATICS

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations

(2020) Mst. Shamima Khatun et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification

(2020) Xiao Liang et al.   BRIEFINGS IN BIOINFORMATICS

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops

(2020) Fu-Ying Dao et al.   BRIEFINGS IN BIOINFORMATICS

Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools

(2020) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

PreAIP: Computational Prediction of Anti-inflammatory Peptides by Integrating Multiple Complementary Features

(2019) Mst. Shamima Khatun et al.   Frontiers in Genetics

iRNAD: a computational tool for identifying D modification sites in RNA sequence

(2019) Zhao-Chun Xu et al.   BIOINFORMATICS

mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides

(2019) Vinothini Boopathi et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation

(2019) Balachandran Manavalan et al.   Molecular Therapy-Nucleic Acids

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

(2019) Bin Yu et al.   BIOINFORMATICS

iATP: A sequence based method for identifying anti-tubercular peptides

(2019) Wei Chen et al.   Medicinal Chemistry

SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome

(2019) Shaherin Basith et al.   Molecular Therapy-Nucleic Acids

Mass spectrometric evidence for neuropeptide-amidating enzymes inCaenorhabditis elegans

(2018) Sven Van Bael et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

NeuroPP: A Tool for the Prediction of Neuropeptide Precursors Based on Optimal Sequence Composition

(2018) Juanjuan Kang et al.   Interdisciplinary Sciences-Computational Life Sciences

Biochemical, Anatomical, and Pharmacological Characterization of Calcitonin-Type Neuropeptides in Starfish: Discovery of an Ancient Role as Muscle Relaxants

(2018) Weigang Cai et al.   Frontiers in Neuroscience

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning

(2018) Xiaoli Qiang et al.   BRIEFINGS IN BIOINFORMATICS

OUP accepted manuscript

(2018)   BRIEFINGS IN BIOINFORMATICS

The Anti-tumoral Properties of Orexin/Hypocretin Hypothalamic Neuropeptides: An Unexpected Therapeutic Role

(2018) Alain Couvineau et al.   Frontiers in Endocrinology

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

(2018) Balachandran Manavalan et al.   BIOINFORMATICS

A brief survey of machine learning methods in protein sub-Golgi localization

(2018) Wuritu Yang et al.   Current Bioinformatics

Recent advances in machine learning methods for predicting heat shock proteins

(2018) Wei Chen et al.   CURRENT DRUG METABOLISM

Frequent mild head injury promotes trigeminal sensitivity concomitant with microglial proliferation, astrocytosis, and increased neuropeptide levels in the trigeminal pain system

(2017) Ashley L. Tyburski et al.   JOURNAL OF HEADACHE AND PAIN

Neuropeptides and Microglial Activation in Inflammation, Pain, and Neurodegenerative Diseases

(2017) Lila Carniglia et al.   MEDIATORS OF INFLAMMATION

PHYPred: a tool for identifying bacteriophage enzymes and hydrolases

(2016) Hui Ding et al.   VIROLOGICA SINICA

NeuroPep: a comprehensive resource of neuropeptides

(2015) Y. Wang et al.   Database-The Journal of Biological Databases and Curation

NeuroPID: a classifier of neuropeptide precursors

(2014) Solange Karsenty et al.   NUCLEIC ACIDS RESEARCH

Role of neuropeptides in anxiety, stress, and depression: From animals to humans

(2013) Viktória Kormos et al.   NEUROPEPTIDES

Using Weakly Conserved Motifs Hidden in Secretion Signals to Identify Type-III Effectors from Bacterial Pathogen Genomes

(2013) Xiaobao Dong et al.   PLoS One

NeuroPedia: neuropeptide database and spectral library

(2011) Yoona Kim et al.   BIOINFORMATICS

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

(2011) Tzong-Yi Lee et al.   BIOINFORMATICS

Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs

(2008) Ke Chen et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Peptidomics: The integrated approach of MS, hyphenated techniques and bioinformatics for neuropeptide analysis

(2008) Kurt Boonen et al.   JOURNAL OF SEPARATION SCIENCE