New open source drug discovery project aims to develop mycetoma treatment
A transparent, open, and cost-effective approach to developing drugs for a deeply neglected disease
Geneva, Switzerland / Rotterdam, Netherlands / Sydney, Australia
6 Feb 2018
Share on twitter
Share on facebook
Share on linkedin
Share on email
Share on print
The MycetOS (Mycetoma Open Source) project was launched today by the University of Sydney, Erasmus MC, and the Drugs for Neglected Diseases initiative (DNDi) to use an Open Pharma approach to discover compounds that could lead to new treatments for patients suffering from fungal mycetoma (eumycetoma), a devastating disease for which current treatments are ineffective, expensive, and toxic.
As a first step in the project, the global scientific community is invited to review the manuscript, “Analogues of fenarimols as novel drug candidates for mycetoma”, which has been recently submitted with full dataset to bioRxiv, an open access biology preprint server, for review and comment by interested scientists. The manuscript shares the results of early work to screen 800 diverse, drug-like molecules for active compounds against the causative pathogen of eumycetoma, which yielded several promising new hits. These results and the associated data form the starting point for the MycetOS community, which will communicate on Twitter (@MycetOS).
MycetOS will progress drug discovery efforts through community-driven, in-kind scientific contributions and a robust, fully transparent online presence. All ideas and results will be published immediately in real time to an open-access database. In addition to communicating via Twitter, the MycetOS community will use a dedicated subreddit forum for transparent interactive discussion, and use github for sharing data and key project files.
“We invite anyone interested to review not only the manuscript but also the dataset, and to join this Open Pharma drug discovery project for mycetoma,” said Dr Mat Todd, Associate Professor at the University of Sydney. “Forward movement of the work looks to the participation of interested researchers and others. This is already happening successfully with a previous Open Pharma project, Open Source Malaria (@O_S_M).”
The manuscript on the findings of the screening effort was co-authored by early MycetOS participants from the University of Sydney, Erasmus MC, and DNDi, and by partners at the Medicines for Malaria Venture (MMV), which provided the molecules for screening from their Stasis and open access Pathogen Boxes.
“While MycetOS was developed by participants from the University of Sydney, Erasmus MC and DNDi, it is not ‘owned’ by any of us,” said Wendy van de Sande, Associate Professor, Erasmus MC. “This early work merely starts a process of discovering potential new chemical entities for eumycetoma, and we invite anyone interested to identify how they might contribute and participate as an equal partner in this search for a new treatment for this most neglected of tropical diseases.”
Eumycetoma is a neglected tropical infectious disease, primarily endemic in Africa, that attacks the skin, deep muscle and bone, causing devastating deformities that frequently result in amputation and permanent disability. The current antifungal treatment is neither safe, nor effective (having only a 25-35% cure rate), nor affordable. The median treatment duration is 12 months, and the treatment costs more than many local people can afford. An effective, safe, affordable and shorter-term curative treatment that is appropriate for rural settings is urgently needed.
To connect with the MycetOS community, follow @MycetOS on Twitter.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie.
This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.
This cookie is installed by Google Analytics.
A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to.
Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.
Hotjar sets this cookie to detect the first pageview session of a user. This is a True/False flag set by the cookie.
Hotjar sets this cookie to identify a new user’s first session. It stores a true/false value, indicating whether it was the first time Hotjar saw this user.
Hotjar sets this cookie to know whether a user is included in the data sampling defined by the site's pageview limit.
Hotjar sets this cookie to know whether a user is included in the data sampling defined by the site's daily session limit.
Hotjar sets this cookie.
Hotjar sets this cookie.
YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data.