The ASAP Discovery Consortium

@asapdiscovery.bsky.social

ASAP uses artificial intelligence and computational chemistry to accelerate structure-based open science antiviral drug discovery and deliver oral antivirals for pandemics with the goal of global, equitable, and affordable access.

Join us for the Wed 18 Jun Antiviral Drug Discovery Open Science Forum at 11A ET to hear from Ingrid de Visser-Kamerling and Jeroen Kruter of INFECTA on Controlled Human Infection Models, as well as Annette von Delft and Peter Sjö of ASAP on the discovery of DNDi-6510! asapdiscovery.org/forum/

Antiviral Drug Discovery (AViDD) Open Science Forum

A public venue to enable NIH-funded AViDD Centers to openly exchange and disseminate information in a pre-competitive fashion.

asapdiscovery.org

Join today's Antiviral Drug Discovery Open Science Forum at 11A ET to hear Warren Thompson (‪ASAP @diamondlightsource.bsky.social‬) discuss robotic fragment progression and Juan Carlos de la Torre (‪CAMPP @scripps.edu‬) present strategies to combat human mammarenaviruses: asapdiscovery.org/forum/

Antiviral Drug Discovery (AViDD) Open Science Forum

A public venue to enable NIH-funded AViDD Centers to openly exchange and disseminate information in a pre-competitive fashion.

asapdiscovery.org

Massive credit to all members of @asapdiscovery.bsky.social :- drug discovery is a massive team sport. Especially the chemists at Enamine working through the war.

C&EN (Chemical & Engineering News)@cenmag.bsky.social · last yr.

At #ACSSpring2025, Ed Griffen of MedChemica disclosed the structure of a pancoronavirus antiviral that targets the main protease of the two different coronaviruses that cause Middle East respiratory syndrome (MERS) and COVID-19. cen.acs.org/acs-news/acs... 🧪

Exciting news! The structure of the new MERS-CoV/SARS-CoV-2 oral antiviral developed by the ASAP Discovery consortium has been disclosed today. Read this thread for all the details:

Drugs for Neglected Diseases initiative (DNDi)@dndi.org · last yr.

📢Important announcement! Today, the @asapdiscovery.bsky.social consortium disclosed the structure of our preclinical candidate, ASAP-0017445, a promising broad-spectrum antiviral with potent activity against SARS-CoV2 and other viruses belonging to the same family. (1/10)

If you're attending the American Chemical Society (ACS) meeting either physically or virtually, tune in to today's talk disclosing ASAP's new oral antiviral candidate aiming to help protect against future pandemics.

The ASAP Discovery Consortium@asapdiscovery.bsky.social · last yr.

Lead medicinal chemist Ed Griffen (@griffen-ed.bsky.social) will be disclosing the new ASAP MERS-CoV/SARS-CoV-2 oral antiviral at @acs.org on Tue 25 Mar! Tune in to this virtual session to hear about its discovery and development! acs.digitellinc.com/live/34/sess...

ACS talk 4181593 - Discovery of non-peptidomimetic oral combined MERS and SARS-CoV-2 anti-virals

Presented by Ed Griffen

Part of the session "Developing Countermeasures for Viruses of Pandemic Potential"

Room: Digital Session (Digital Meeting)

Overview:

The COVID-19 pandemic was a stark reminder that a barren global antiviral pipeline has grave humanitarian consequences. Pandemics could be prevented, in principle, by accessible, easily deployable broad-spectrum oral antivirals. Here we report the discovery of a family non-peptidomimetic spirolactams that target critical pathogenic coronaviridae including SARS-CoV-2 and MERS-CoV.
As part of the ASAP AViDD centre(www.asapdiscovery.org) we expanded the work of the COVID Moonshot's drug discovery campaign targeting the SARS-CoV-2 main protease to deliver orally active compounds with promising in vivo profiles. Using a combination of active learning based medicinal chemistry, alchemical free energy calculations and structure-based design we were able to extend the coronavirus spectrum and optimise the ADMET properties of the series leading to the first public disclosure of the preclinical candidate.

Three days to go until the unveiling of our MERS-CoV/SARS-CoV-2 oral antiviral candidate for preclinical development!

The ASAP Discovery Consortium@asapdiscovery.bsky.social · last yr.

Lead medicinal chemist Ed Griffen (@griffen-ed.bsky.social) will be disclosing the new ASAP MERS-CoV/SARS-CoV-2 oral antiviral at @acs.org on Tue 25 Mar! Tune in to this virtual session to hear about its discovery and development! acs.digitellinc.com/live/34/sess...

ACS talk 4181593 - Discovery of non-peptidomimetic oral combined MERS and SARS-CoV-2 anti-virals

Presented by Ed Griffen

Part of the session "Developing Countermeasures for Viruses of Pandemic Potential"

Room: Digital Session (Digital Meeting)

Overview:

The COVID-19 pandemic was a stark reminder that a barren global antiviral pipeline has grave humanitarian consequences. Pandemics could be prevented, in principle, by accessible, easily deployable broad-spectrum oral antivirals. Here we report the discovery of a family non-peptidomimetic spirolactams that target critical pathogenic coronaviridae including SARS-CoV-2 and MERS-CoV.
As part of the ASAP AViDD centre(www.asapdiscovery.org) we expanded the work of the COVID Moonshot's drug discovery campaign targeting the SARS-CoV-2 main protease to deliver orally active compounds with promising in vivo profiles. Using a combination of active learning based medicinal chemistry, alchemical free energy calculations and structure-based design we were able to extend the coronavirus spectrum and optimise the ADMET properties of the series leading to the first public disclosure of the preclinical candidate.

Our team is having fun trying out the binding pose challenge! Check it out below, the organisers have done a great job making the data easy to access and understand!

The ASAP Discovery Consortium@asapdiscovery.bsky.social · 2y ago

Working on predictive models for drug discovery? Here's your chance to see how well your models actually work! Together with @polarishub.io and OpenADMET, we've launched a blind prospective challenge to see how well predictive models for drug discovery can actually predict real drug discovery data!