Abstract
A significant portion of the manuscript of Loiseau, P. M. and Bories C. entitled “Mechanisms of Drug Action and Drug Resistance in Leishmania as Basis for Therapeutic Target Identification and Design of Antileishmanial Modulators” Curr. Top. Med. Chem. 2006, 6, 539-550 was copied verbatim from the paper of M. Ouellette, J. Drummelsmith, and B. Papadopoulou entitled “Leishmaniasis: drugs in the clinic, resistance and new developments” Drug Res. Updates 2004, 7, 257-266. Therefore, Curr. Top. Med. Chem. has formally retracted the citation Loiseau, P. M.; Bories, C. Curr. Top. Med. Chem. 2006, 6, 539-550 from publication.
Current Topics in Medicinal Chemistry
Title: Corrigendum
Volume: 7 Issue: 4
Abstract: A significant portion of the manuscript of Loiseau, P. M. and Bories C. entitled “Mechanisms of Drug Action and Drug Resistance in Leishmania as Basis for Therapeutic Target Identification and Design of Antileishmanial Modulators” Curr. Top. Med. Chem. 2006, 6, 539-550 was copied verbatim from the paper of M. Ouellette, J. Drummelsmith, and B. Papadopoulou entitled “Leishmaniasis: drugs in the clinic, resistance and new developments” Drug Res. Updates 2004, 7, 257-266. Therefore, Curr. Top. Med. Chem. has formally retracted the citation Loiseau, P. M.; Bories, C. Curr. Top. Med. Chem. 2006, 6, 539-550 from publication.
Export Options
About this article
Cite this article as:
Corrigendum, Current Topics in Medicinal Chemistry 2007; 7 (4) . https://dx.doi.org/10.2174/156802607779941233
DOI https://dx.doi.org/10.2174/156802607779941233 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
Call for Papers in Thematic Issues
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
Chemistry Based on Natural Products for Therapeutic Purposes
The development of new pharmaceuticals for a wide range of medical conditions has long relied on the identification of promising natural products (NPs). There are over sixty percent of cancer, infectious illness, and CNS disease medications that include an NP pharmacophore, according to the Food and Drug Administration. Since NP ...read more
Chronic Kidney Disease
The scope of the special thematic issue includes but not limited to the mechanism of chronic kidney disease (CKD), the treatment of renal fibrosis and early diagnosis of CKD and so on. We also welcome manuscripts from other scientific research area with respect to internal medicine. Cell death has been ...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