Abstract
Tuberculosis (TB) remains to be a global major public-health threat, causing millions of deaths each year. A major difficulty in dealing with TB is that the causative bacterium, Mycobacterium tuberculosis, can persist in host tissue for a long period of time even after treatment. Mycobacterial persistence has become a central research focus for developing next-generation TB drugs. Latest genomic technology has enabled a high-throughput approach for identifying potential TB drug targets. Each gene product can be screened for its uniqueness to the TB metabolism, host-pathogen discrimination, essentiality for survival, and potential for chemical binding, among other properties. However, the exhaustive search for useful drug targets over the entire genome would not be productive as expected in practice. On the other hand, the problem can be formulated as pattern recognition or inductive learning and tackled with rule-based or statistically based learning algorithms. Here we review the perspective that combines machine learning and genomics for drug discovery in tuberculosis.
Keywords: Tuberculosis, persistence, machine learning, microarray, drug target.
Current Pharmaceutical Design
Title:Machine Learning and Tubercular Drug Target Recognition
Volume: 20 Issue: 27
Author(s): Li M. Fu
Affiliation:
Keywords: Tuberculosis, persistence, machine learning, microarray, drug target.
Abstract: Tuberculosis (TB) remains to be a global major public-health threat, causing millions of deaths each year. A major difficulty in dealing with TB is that the causative bacterium, Mycobacterium tuberculosis, can persist in host tissue for a long period of time even after treatment. Mycobacterial persistence has become a central research focus for developing next-generation TB drugs. Latest genomic technology has enabled a high-throughput approach for identifying potential TB drug targets. Each gene product can be screened for its uniqueness to the TB metabolism, host-pathogen discrimination, essentiality for survival, and potential for chemical binding, among other properties. However, the exhaustive search for useful drug targets over the entire genome would not be productive as expected in practice. On the other hand, the problem can be formulated as pattern recognition or inductive learning and tackled with rule-based or statistically based learning algorithms. Here we review the perspective that combines machine learning and genomics for drug discovery in tuberculosis.
Export Options
About this article
Cite this article as:
Fu M. Li, Machine Learning and Tubercular Drug Target Recognition, Current Pharmaceutical Design 2014; 20 (27) . https://dx.doi.org/10.2174/1381612819666131118164023
DOI https://dx.doi.org/10.2174/1381612819666131118164023 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
Call for Papers in Thematic Issues
"Tuberculosis Prevention, Diagnosis and Drug Discovery"
The Nobel Prize-winning discoveries of Mycobacterium tuberculosis and streptomycin have enabled an appropriate diagnosis and an effective treatment of tuberculosis (TB). Since then, many newer diagnosis methods and drugs have been saving millions of lives. Despite advances in the past, TB is still a leading cause of infectious disease mortality ...read more
Current Pharmaceutical challenges in the treatment and diagnosis of neurological dysfunctions
Neurological dysfunctions (MND, ALS, MS, PD, AD, HD, ALS, Autism, OCD etc..) present significant challenges in both diagnosis and treatment, often necessitating innovative approaches and therapeutic interventions. This thematic issue aims to explore the current pharmaceutical landscape surrounding neurological disorders, shedding light on the challenges faced by researchers, clinicians, and ...read more
Emerging and re-emerging diseases
Faced with a possible endemic situation of COVID-19, the world has experienced two important phenomena, the emergence of new infectious diseases and/or the resurgence of previously eradicated infectious diseases. Furthermore, the geographic distribution of such diseases has also undergone changes. This context, in turn, may have a strong relationship with ...read more
Melanoma and Non-Melanoma Skin Cancer Treatment: Standard of Care and Recent Advances
In this thematic issue, we aim to provide a standard of care of the diagnosis and treatment of melanoma and non-melanoma skin cancer. The editor will invite authors from different countries who will write review articles of melanoma and non-melanoma skin cancers. The Diagnosis, Staging, Surgical Treatment, Non-Surgical Treatment all ...read more
- 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
-
New Progress in Azole Compounds as Antimicrobial Agents
Mini-Reviews in Medicinal Chemistry Gammadelta T Lymphocytes Producing IFNγ and IL-17 in Response to Candida Albicans or Mycobacterial Antigens: Possible Implications for Acute and Chronic Inflammation
Current Medicinal Chemistry Direct Evidence for GC-NSF(a) Hypothesis on Creation of Entirely New Gene/Protein
Current Proteomics Review of Pediatric Uveitis
Current Pediatric Reviews Inhaled Formulation Design for the Treatment of Lung Infections
Current Pharmaceutical Design Recent Opportunities and Challenges in Selective C-H Functionalization of Methyl Azaarenes: A Highlight from 2010 to 2020 Studies
Current Organic Synthesis Subject Index To Volume 7
Current Drug Targets Chalcones and Chromones in Copper-Catalyzed Azide–Alkyne Cycloadditions (CuAAC)
Current Organic Chemistry Marine Sponges: Potential Sources of New Antimicrobial Drugs
Current Pharmaceutical Biotechnology Antipsoriatic Drug Development: Challenges and New Emerging Therapies
Recent Patents on Inflammation & Allergy Drug Discovery The Role of Intrinsically Disordered Regions in the Structure and Functioning of Small Heat Shock Proteins
Current Protein & Peptide Science Galvez-Markov Network Transferability Indices: Review of Classic Theory and New Model for Perturbations in Metabolic Reactions
Current Drug Metabolism Synthesis and Biological Activity of Fused Heteropolycyclic Systems Containing an Indole Moiety
Current Organic Synthesis The Impending Renaissance in Discovery & Development of Natural Products
Current Topics in Medicinal Chemistry A Pathogenetic Approach to Autoimmune Skin Disease Therapy: Psoriasis and Biological Drugs, Unresolved Issues, and Future Directions
Current Pharmaceutical Design Pleural Involvement Due to Metastatic Melanoma: A Rare Complication and Literature Review
Current Respiratory Medicine Reviews Adolescents Attitudes Toward Vaccinations: A Systematic Review
Current Pediatric Reviews Honey: The Natural ‟Inhibine”
Anti-Infective Agents Essential Roles of Toll-Like Receptors in Atherosclerosis
Current Medicinal Chemistry Molecular Biomarkers of Disease for Diagnosis and Drug Development
Current Medicinal Chemistry