Next Article in Journal
The Quest for a Vaccine Against Coccidioidomycosis: A Neglected Disease of the Americas
Previous Article in Journal
Allergic Aspergillus Rhinosinusitis
Previous Article in Special Issue
A Quantitative Model to Estimate Drug Resistance in Pathogens
Article Menu

Export Article

Open AccessEditorial
J. Fungi 2016, 2(4), 33; doi:10.3390/jof2040033

Special Issue: Novel Antifungal Drug Discovery

1
Department of Molecular Genetics and Microbiology, Stony Brook University, Stony Brook, NY 11794, USA
2
Veterans Affairs Medical Center, Northport, NY 11768, USA
Academic Editor: David S. Perlin
Received: 1 December 2016 / Revised: 8 December 2016 / Accepted: 9 December 2016 / Published: 14 December 2016
(This article belongs to the Special Issue Novel Antifungal Drug Discovery)
View Full-Text   |   Download PDF [172 KB, uploaded 14 December 2016]

Abstract

This Special Issue is designed to highlight the latest research and development on new antifungal compounds with mechanisms of action different from the ones of polyenes, azoles, and echinocandins. The papers presented here highlight new pathways and targets that could be exploited for the future development of new antifungal agents to be used alone or in combination with existing antifungals. A computational model for better predicting antifungal drug resistance is also presented. View Full-Text
Keywords: antifungal drug; fungal infection; fungal virulence; sphingolipid; phospholipase; drug resistance; mathematical model antifungal drug; fungal infection; fungal virulence; sphingolipid; phospholipase; drug resistance; mathematical model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Del Poeta, M. Special Issue: Novel Antifungal Drug Discovery. J. Fungi 2016, 2, 33.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Fungi EISSN 2309-608X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top