Abstract
Predicting protein submitochondrial location has been studied for about ten years. A number of methods have been developed. The prediction performances have been improved to an almost perfect level. In this review, we introduce the background of this research topic. We also compare the methods, the performances and the datasets that have been used by these studies. Towards the end, we provide hints for the future directions of this research topic.
Keywords: Submitochondrial locations, Intermembrane space, Feature selection, DNA, Globular proteins, Mitochondria.
Current Genomics
Title:Predicting Protein Submitochondrial Locations: The 10th Anniversary
Volume: 18 Issue: 4
Author(s): Pu-Feng Du*
Affiliation:
- School of Computer Science and Technology, Tianjin University, Tianjin 300350,China
Keywords: Submitochondrial locations, Intermembrane space, Feature selection, DNA, Globular proteins, Mitochondria.
Abstract: Predicting protein submitochondrial location has been studied for about ten years. A number of methods have been developed. The prediction performances have been improved to an almost perfect level. In this review, we introduce the background of this research topic. We also compare the methods, the performances and the datasets that have been used by these studies. Towards the end, we provide hints for the future directions of this research topic.
Export Options
About this article
Cite this article as:
Du Pu-Feng*, Predicting Protein Submitochondrial Locations: The 10th Anniversary, Current Genomics 2017; 18 (4) . https://dx.doi.org/10.2174/1389202918666170228143256
DOI https://dx.doi.org/10.2174/1389202918666170228143256 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
A panoramic view of chronic liver diseases and natural remedies reported in Traditional Persian Medicine
Current Pharmaceutical Design Applications of Gene Therapy to the Treatment of Chronic Pain
Current Gene Therapy Biochemical, Biomedical and Metabolic Aspects of Imidazole-Containing Dipeptides with the Inherent Complexity to Neurodegenerative Diseases and Various States of Mental Well-Being: A Challenging Correction and Neurotherapeutic Pharmaceutical Biotechnology for Treating Cognitive Deficits, Depression and Intellectual Disabilities
Current Pharmaceutical Biotechnology Infrared-Spectroscopy: A Non-Invasive Tool for Medical Diagnostics and Drug Analysis
Current Medicinal Chemistry New Developments in Anti-Angiogenic Therapy of Cancer, Review and Update
Anti-Cancer Agents in Medicinal Chemistry Application of Aggregation-Induced Emission (AIE) Systems in Sensing and Bioimaging
Current Organic Chemistry Identification of Disease States and Response to Therapy in Humans by Utilizing the Biomarker EGFR for Targeted Molecular Imaging
Current Protein & Peptide Science Acute Stroke Therapy: Combination Drugs and Multifunctional Neuroprotectants
Current Neuropharmacology Immobilization of Proteins in Ormosil Gels: Functional Properties and Applications
Current Organic Chemistry α(N)-Heterocyclic Thiosemicarbazones: Iron Chelators that are Promising for Revival of Gallium in Cancer Chemotherapy
Anti-Cancer Agents in Medicinal Chemistry Inhibitors of Cysteine Proteases
Current Topics in Medicinal Chemistry Using Free and Open-Source Bioconductor Packages to Analyze Array Comparative Genomics Hybridization (aCGH) Data
Current Genomics Are Catechins, Polyphenols in Tea, Good for Your Health?
Current Nutrition & Food Science Interaction of Human Alpha-2-Macroglobulin with Pesticide Aldicarb Using Spectroscopy and Molecular Docking
Protein & Peptide Letters Prediction by Pharmacogenetics of Safety and Efficacy of Non-Steroidal Anti- Inflammatory Drugs: A Review
Current Drug Metabolism Current Status of Gene Therapy for Hepatocellular Carcinoma, with a Focus on Gene Delivery Approaches
Current Gene Therapy Targeting Inhibition of COX-2: A Review of Patents, 2002 - 2006
Recent Patents on Inflammation & Allergy Drug Discovery Weka Machine Learning for Predicting the Phospholipidosis Inducing Potential
Current Topics in Medicinal Chemistry Metabolomics and the Diagnosis of Human Diseases -A Guide to the Markers and Pathophysiological Pathways Affected
Current Medicinal Chemistry Quantitative Structure-Wavelength Relationship Modeling of Porphin -Derivative Photosensitizers
Combinatorial Chemistry & High Throughput Screening