Cargando…

A Novel Modeling in Mathematical Biology for Classification of Signal Peptides

The molecular structure of macromolecules in living cells is ambiguous unless we classify them in a scientific manner. Signal peptides are of vital importance in determining the behavior of newly formed proteins towards their destined path in cellular and extracellular location in both eukaryotes an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ehsan, Asma, Mahmood, Khalid, Khan, Yaser Daanial, Khan, Sher Afzal, Chou, Kuo-Chen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773712/ https://www.ncbi.nlm.nih.gov/pubmed/29348418 http://dx.doi.org/10.1038/s41598-018-19491-y

Ejemplares similares

iHyd-LysSite (EPSV): Identifying Hydroxylysine Sites in Protein Using Statistical Formulation by Extracting Enhanced Position and Sequence Variant Feature Technique
por: Mahmood, Muhammad Khalid, et al.
Publicado: (2020)

iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers
por: Allehaibi, Khalid, et al.
Publicado: (2021)

iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components
por: Barukab, Omar, et al.
Publicado: (2019)

DNAPred_Prot: Identification of DNA-Binding Proteins Using Composition- and Position-Based Features
por: Barukab, Omar, et al.
Publicado: (2022)

iMethylK_pseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General PseAAC via Chou’s 5-steps Rule
por: Ilyas, Sarah, et al.
Publicado: (2019)

An Efficient Algorithm for Recognition of Human Actions
por: Khan, Yaser Daanial, et al.
Publicado: (2014)

Iris Recognition Using Image Moments and k-Means Algorithm
por: Khan, Yaser Daanial, et al.
Publicado: (2014)

A Prediction Model for Membrane Proteins Using Moments Based Features
por: Butt, Ahmad Hassan, et al.
Publicado: (2016)

iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5-Step Rule and General Pseudo Amino Acid Composition
por: Ehsan, Asma, et al.
Publicado: (2019)

Identification of 4-carboxyglutamate residue sites based on position based statistical feature and multiple classification
por: Shah, Asghar Ali, et al.
Publicado: (2020)

BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling
por: Naseem, Ansar, et al.
Publicado: (2023)

RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features
por: Hassan, Arfa, et al.
Publicado: (2022)

Evaluating machine learning methodologies for identification of cancer driver genes
por: Malebary, Sharaf J., et al.
Publicado: (2021)

A Framework for Prediction of Oncogenomic Progression Aiding Personalized Treatment of Gastric Cancer
por: Alotaibi, Fahad M., et al.
Publicado: (2023)

iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models
por: Suleman, Muhammad Taseer, et al.
Publicado: (2023)

Identification of stress response proteins through fusion of machine learning models and statistical paradigms
por: Alzahrani, Ebraheem, et al.
Publicado: (2021)

Prediction of N-linked glycosylation sites using position relative features and statistical moments
por: Akmal, Muhammad Aizaz, et al.
Publicado: (2017)

EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma
por: Shah, Asghar Ali, et al.
Publicado: (2023)

iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC
por: Khan, Yaser Daanial, et al.
Publicado: (2021)

IGPred-HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning-Based Approach
por: Ali, Zakir, et al.
Publicado: (2023)

Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features
por: Perveen, Gulnaz, et al.
Publicado: (2023)

Machine learning techniques for identification of carcinogenic mutations, which cause breast adenocarcinoma
por: Shah, Asghar Ali, et al.
Publicado: (2022)

White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images
por: Rustam, Furqan, et al.
Publicado: (2022)

iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule
por: Malebary, Sharaf Jameel, et al.
Publicado: (2019)

A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns
por: Butt, Ahmad Hassan, et al.
Publicado: (2022)

DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers
por: Suleman, Muhammad Taseer, et al.
Publicado: (2022)

Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations
por: Shah, Asghar Ali, et al.
Publicado: (2022)

Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations
por: Shah, Asghar Ali, et al.
Publicado: (2022)

Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum
por: Butt, Ahmad Hassan, et al.
Publicado: (2023)

βLact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule
por: Ashraf, Muhammad Adeel, et al.
Publicado: (2021)

Introduction to mathematical biology: modeling, analysis, and simulations
por: Chou, Ching Shan, et al.
Publicado: (2016)

SHER: A Colored Petri Net Based Random Mobility Model for Wireless Communications
por: Khan, Naeem Akhtar, et al.
Publicado: (2015)

Mathematical models in biology /
por: Edelstein-Keshet, Leah
Publicado: (2005)

Mathematical models in biology: bringing mathematics to life
por: Zazzu, Valeria, et al.
Publicado: (2015)

Mathematical models in biology : an introduction /
por: Allman, Elizabeth Spencer, 1965-
Publicado: (2004)

Mathematical Modeling for Inherited Diseases
por: Anis, Saima, et al.
Publicado: (2017)

Classification of Individual Finger Movements from Right Hand Using fNIRS Signals
por: Khan, Haroon, et al.
Publicado: (2021)

Novel Mathematical Model of Breast Cancer Diagnostics Using an Associative Pattern Classification
por: Santiago-Montero, Raúl, et al.
Publicado: (2020)

Dynamics of mathematical models in biology: bringing mathematics to life
por: Rogato, Alessandra, et al.
Publicado: (2016)

Assessing the potential biological activities of TiO(2) and Cu, Ni and Cr doped TiO(2) nanoparticles
por: Munir, Shamsa, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_gl1b6f4mtnat7qap0a3je2h07j