Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks

Antifungal Peptides as Therapeutic Agents

(2020) Miguel Fernández de Ullivarri et al.   Frontiers in Cellular and Infection Microbiology

iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach

(2020) Shahid Akbar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information

(2019) Farman Ali et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities

(2019) Ameni Trabelsi et al.   BIOINFORMATICS

iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components

(2019) Zaheer Ullah Khan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Deep learning for identifying radiogenomic associations in breast cancer

(2019) Zhe Zhu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks

(2019) Muhammad Tahir et al.   Molecular Therapy-Nucleic Acids

iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition

(2019) Shahid Akbar et al.   Frontiers of Computer Science

SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM

(2019) Farman Ali et al.   ANALYTICAL BIOCHEMISTRY

iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection

(2019) Zaheer Ullah Khan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components

(2019) Shahid Akbar et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy

(2018) Balachandran Manavalan et al.   JOURNAL OF PROTEOME RESEARCH

Learning soft mask with DNN and DNN-SVM for multi-speaker DOA estimation using an acoustic vector sensor

(2018) Disong Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

iMethyl-STTNC: Identification of N 6 -methyladenosine sites by extending the Idea of SAAC into Chou's PseAAC to formulate RNA sequences

(2018) Shahid Akbar et al.   JOURNAL OF THEORETICAL BIOLOGY

In Silico Approach for Prediction of Antifungal Peptides

(2018) Piyush Agrawal et al.   Frontiers in Microbiology

DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space

(2018) Farman Ali et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides

(2018) Poonam Pandey et al.   JOURNAL OF PROTEOME RESEARCH

Using deep neural network with small dataset to predict material defects

(2018) Shuo Feng et al.   MATERIALS & DESIGN

Antimicrobial activity predictors benchmarking analysis using shuffled and designed synthetic peptides

(2017) William F. Porto et al.   JOURNAL OF THEORETICAL BIOLOGY

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

MLACP: machine-learning-based prediction of anticancer peptides

(2017) Balachandran Manavalan et al.   Oncotarget

Antifungal Therapy: New Advances in the Understanding and Treatment of Mycosis

(2017) Liliana Scorzoni et al.   Frontiers in Microbiology

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

(2017) U. Rajendra Acharya et al.   COMPUTERS IN BIOLOGY AND MEDICINE

THPdb: Database of FDA-approved peptide and protein therapeutics

(2017) Salman Sadullah Usmani et al.   PLoS One

Machine learning approaches for discrimination of Extracellular Matrix proteins using hybrid feature space

(2016) Farman Ali et al.   JOURNAL OF THEORETICAL BIOLOGY

Performance evaluation of different machine learning techniques for prediction of heart disease

(2016) Ashok Kumar Dwivedi   NEURAL COMPUTING & APPLICATIONS

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

(2016) Radoslaw Martin Cichy et al.   Scientific Reports

Enhanced Prediction and Characterization of CDK Inhibitors Using Optimal Class Distribution

(2016) Abhigyan Nath et al.   Interdisciplinary Sciences-Computational Life Sciences

Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition

(2015) Jianhua Jia et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

(2015) Junshui Ma et al.   Journal of Chemical Information and Modeling

Classification of membrane protein types using Voting Feature Interval in combination with Chou׳s Pseudo Amino Acid Composition

(2015) Farman Ali et al.   JOURNAL OF THEORETICAL BIOLOGY

iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples

(2015) Muhammad Kabir et al.   MOLECULAR GENETICS AND GENOMICS

SATPdb: a database of structurally annotated therapeutic peptides

(2015) Sandeep Singh et al.   NUCLEIC ACIDS RESEARCH

CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides

(2015) Piyush Agrawal et al.   NUCLEIC ACIDS RESEARCH

SPiCE: a web-based tool for sequence-based protein classification and exploration

(2014) Bastiaan A van den Berg et al.   BMC BIOINFORMATICS

WRF-TMH: predicting transmembrane helix by fusing composition index and physicochemical properties of amino acids

(2013) Maqsood Hayat et al.   AMINO ACIDS

iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition

(2013) Peng-Mian Feng et al.   ANALYTICAL BIOCHEMISTRY

iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types

(2013) Xuan Xiao et al.   ANALYTICAL BIOCHEMISTRY

Predicting Antibacterial Peptides by the Concept of Chou's Pseudo-amino Acid Composition and Machine Learning Methods

(2013) Maede Khosravian et al.   PROTEIN AND PEPTIDE LETTERS

Mem-PHybrid: Hybrid features-based prediction system for classifying membrane protein types

(2012) Maqsood Hayat et al.   ANALYTICAL BIOCHEMISTRY

The Future of Peptide-based Drugs

(2012) David J. Craik et al.   Chemical Biology & Drug Design

Antibiotic-Resistant Bacteria: A Challenge for the Food Industry

(2012) Rosa Capita et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides

(2012) Shaini Joseph et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Emerging fungal threats to animal, plant and ecosystem health

(2012) Matthew C. Fisher et al.   NATURE

Hidden Killers: Human Fungal Infections

(2012) G. D. Brown et al.   Science Translational Medicine

Prediction of ketoacyl synthase family using reduced amino acid alphabets

(2011) Wei Chen et al.   JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY

Emerging opportunistic yeast infections

(2011) Marisa H Miceli et al.   LANCET INFECTIOUS DISEASES

Using increment of diversity to predict mitochondrial proteins of malaria parasite: integrating pseudo-amino acid composition and structural alphabet

(2010) Ying-Li Chen et al.   AMINO ACIDS

Predicting Membrane Protein Types by the LLDA Algorithm

(2008) Tong Wang et al.   PROTEIN AND PEPTIDE LETTERS

Neural networks and statistical techniques: A review of applications

(2007) Mukta Paliwal et al.   EXPERT SYSTEMS WITH APPLICATIONS