4.6 Article

Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Computing

Related references

Note: Only part of the references are listed.
Article Mathematics, Applied

Deep intelligent predictive model for the identification of diabetes

Salman Khan et al.

Summary: Diabetes mellitus is a severe, chronic disease caused by high blood glucose levels. Predicting diabetes at an early stage using machine learning and deep learning algorithms is a high-quality way to prevent complications. This research proposes an intelligent computational model that accurately predicts the probability of diabetes in patients using hybrid PseKNC, PCA, and DNN.

AIMS MATHEMATICS (2023)

Article Engineering, Biomedical

Identification of antioxidant proteins using a discriminative intelligent model of k-space amino acid pairs based descriptors incorporating with ensemble feature selection

Ashfaq Ahmad et al.

Summary: This study developed an intelligent model that accurately identifies antioxidant proteins and evaluates their effectiveness in the human body. By utilizing evolutionary and sequence-based numerical descriptors, combined with feature selection and support vector machine algorithm, the model achieved high accuracy on both training and independent datasets, outperforming existing computational models.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model

Shahid Akbar et al.

Summary: This paper presents a FastText-based word embedding strategy and a deep neural network model for predicting anticancer peptides, achieving high accuracy and outperforming existing predictors. The proposed cACP-DeepGram model could be a reliable tool for scientists in academic research and drug discovery.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2022)

Article Automation & Control Systems

Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy

Shahid Akbar et al.

Summary: The paper introduces an intelligent and computationally efficient learning approach for the reliable identification of AVPs. Novel evolutionary descriptors are explored and optimal features are selected using SHAP based global interpretation analysis. The model achieves a higher classification rate through the use of five different classifiers and an ensemble learner.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)

Article Automation & Control Systems

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

Ashfaq Ahmad et al.

Summary: Fungal infections have become a serious global issue, making accurate identification of antifungal peptides challenging for researchers. A high-performance intelligent model, DeepAntiFP, was proposed and demonstrated to outperform existing computational models in antifungal peptide identification.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2021)

Article Biology

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

Shahid Akbar et al.

Summary: This study proposes the use of an intelligent and reliable prediction model for identifying antitubercular peptides, using an ensemble learning approach to improve results. The approach aims to compensate for the shortcomings of individual classification algorithms and show promising results in accurately predicting tuberculosis.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Article Engineering, Electrical & Electronic

Neuromechanical Signal-Based Parallel and Scalable Model for Lower Limb Movement Recognition

Nadeem Iqbal et al.

Summary: This study utilized parallel machine learning algorithms to discriminate and control lower limb prostheses among amputees, achieving improved computational speed while maintaining accuracy and scalability. Results showed that the parallel support vector machine algorithm performed well in terms of speedup and scalability, holding promise for future designs of intelligent prostheses and exoskeletons.

IEEE SENSORS JOURNAL (2021)

Article Computer Science, Information Systems

iEnhancer-DHF: Identification of Enhancers and Their Strengths Using Optimize Deep Neural Network With Multiple Features Extraction Methods

Nagina Inayat et al.

Summary: This article proposes a two-level intelligent model, iEnhancer-DHF, based on Deep Neural Network (DNN) and multiple feature extraction methods to identify enhancers and their strengths in DNA sequences. The model utilizes a two-layer approach to predict whether DNA samples are enhancers or non-enhancers, as well as to distinguish between strong and weak enhancers, achieving high accuracies on both training and independent datasets. Comparison results show that the iEnhancer-DHF model outperforms recently published models and widely applied classifiers in enhancer identification.

IEEE ACCESS (2021)

Article Biochemistry & Molecular Biology

A Two-Level Computation Model Based on Deep Learning Algorithm for Identification of piRNA and Their Functions via Chou's 5-Steps Rule

Salman Khan et al.

INTERNATIONAL JOURNAL OF PEPTIDE RESEARCH AND THERAPEUTICS (2020)

Article Automation & Control Systems

Prediction of piRNAs and their function based on discriminative intelligent model using hybrid features into Chou's PseKNC

Salman Khan et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

Article Engineering, Biomedical

Intent based recognition of walking and ramp activities for amputee using sEMG based lower limb prostheses

Tahir Hussain et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)

Article Automation & Control Systems

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

Shahid Akbar et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

Proceedings Paper Computer Science, Software Engineering

SCALING DNN-BASED VIDEO ANALYSIS BY COARSE-GRAINED AND FINE-GRAINED PARALLELISM

Phanwadee Sinthong et al.

2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME) (2020)

Article Biochemistry & Molecular Biology

The Immune Epitope Database (IEDB): 2018 update

Randi Vita et al.

NUCLEIC ACIDS RESEARCH (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Metric Learning from Imbalanced Data

Leo Gautheron et al.

2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019) (2019)

Article Pharmacology & Pharmacy

AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest

Balachandran Manavalan et al.

FRONTIERS IN PHARMACOLOGY (2018)

Article Multidisciplinary Sciences

piRNN: deep learning algorithm for piRNA prediction

Kai Wang et al.

PEERJ (2018)

Article Computer Science, Theory & Methods

Building efficient fuzzy regression trees for large scale and high dimensional problems

Javier Cozar et al.

JOURNAL OF BIG DATA (2018)

Article Engineering, Biomedical

A Real-Time Gait Event Detection for Lower Limb Prosthesis Control and Evaluation

H. F. Maqbool et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Biotechnology & Applied Microbiology

Biochemical Characterization of a Psychrophilic Phytase from an Artificially Cultivable Morel Morchella importuna

Hao Tan et al.

JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY (2017)

Article Medicine, Research & Experimental

Prediction of anti-inflammatory proteins/peptides: an insilico approach

Sudheer Gupta et al.

JOURNAL OF TRANSLATIONAL MEDICINE (2017)

Article Medicine, Research & Experimental

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

Bin Liu et al.

MOLECULAR THERAPY-NUCLEIC ACIDS (2017)

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Proceedings Paper Computer Science, Theory & Methods

GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server

Henggang Cui et al.

PROCEEDINGS OF THE ELEVENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS, (EUROSYS 2016) (2016)

Article Medicine, General & Internal

Autoimmune hepatitis: an approach to disease understanding and management

Margaret Corrigan et al.

BRITISH MEDICAL BULLETIN (2015)

Article Engineering, Electrical & Electronic

Parallel Detrended Fluctuation Analysis for Fast Event Detection on Massive PMU Data

Mukhtaj Khan et al.

IEEE TRANSACTIONS ON SMART GRID (2015)

Review Immunology

Protein kinase inhibitors in the treatment of inflammatory and autoimmune diseases

H. Patterson et al.

CLINICAL AND EXPERIMENTAL IMMUNOLOGY (2014)

Article Automation & Control Systems

Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing

Ali Yousefian-Jazi et al.

JOURNAL OF PROCESS CONTROL (2014)

Review Multidisciplinary Sciences

Anti-Inflammatory Therapy in Chronic Disease: Challenges and Opportunities

Ira Tabas et al.

SCIENCE (2013)

Article Computer Science, Artificial Intelligence

Preprocessing unbalanced data using support vector machine

M. A. H. Farquad et al.

DECISION SUPPORT SYSTEMS (2012)

Article Engineering, Electrical & Electronic

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Geoffrey Hinton et al.

IEEE SIGNAL PROCESSING MAGAZINE (2012)

Article Immunology

Anti-inflammatory neuropeptides: A new class of endogenous immunoregulatory agents

Mario Delgado et al.

BRAIN BEHAVIOR AND IMMUNITY (2008)

Review Immunology

Chronic inflammation:: importance of NOD2 and NALP3 in interleukin-1β generation

L. Ferrero-Miliani et al.

CLINICAL AND EXPERIMENTAL IMMUNOLOGY (2007)

Article Computer Science, Artificial Intelligence

Some effective techniques for naive Bayes text classification

Sang-Bum Kim et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2006)

Article Chemistry, Multidisciplinary

Random forest: A classification and regression tool for compound classification and QSAR modeling

V Svetnik et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)

Review Immunology

Novel immunotherapies for psoriasis

K Asadullah et al.

TRENDS IN IMMUNOLOGY (2002)