Matteo Ferla (@matteoferla) 's Twitter Profile
Matteo Ferla

@matteoferla

Computational (bio)chemist in OPIG & XChem, University of Oxford
blog: blog.matteoferla.com
Michelanglo: michelanglo.sgc.ox.ac.uk
Opinions my own.

ID: 2973245047

linkhttp://www.matteoferla.com calendar_today10-01-2015 23:01:19

277 Tweet

554 Followers

504 Following

Matteo Ferla (@matteoferla) 's Twitter Profile Photo

I was curious so I checked what were the most read-about compounds in en-Wikipedia: obviously narcotics dominate the list. However, at 5k views/mo limonene is the most read, which is very peculiar... Any ideas? (data: github.com/matteoferla/Wi…)

I was curious so I checked what were the most read-about compounds in en-Wikipedia: obviously narcotics dominate the list. However, at 5k views/mo limonene is the most read, which is very peculiar... Any ideas?
(data: github.com/matteoferla/Wi…)
Matteo Ferla (@matteoferla) 's Twitter Profile Photo

For anyone at #shef2023 last week, here are my slides github.com/matteoferla/Fr… and the interactive table of the follow-up compounds from the Covid Moonshot dataset results (michelanglo.sgc.ox.ac.uk/r/fragmenstein…)

rcsb pdb 💉🧬💻🔬💊🌱🧠🦠 (@buildmodels) 's Twitter Profile Photo

PDB released 478 SARS-CoV-2 structures this week, including 466 mpros with inhibitors from the COVID Moonshot project. 966 have been released this year (shown), for 3826 total since the first CV19 structure was released in Feb 2020. Explore them all at rcsb.org/covid19

PDB released 478 SARS-CoV-2 structures this week, including 466 mpros with inhibitors from the COVID Moonshot project.  966 have been released this year (shown), for 3826 total since the first CV19 structure was released in Feb 2020.
Explore them all at rcsb.org/covid19
Eric Topol (@erictopol) 's Twitter Profile Photo

New & impressive Science Magazine Here's how you discover a potent new drug vs Covid 212 scientists/15 countries Open-science, patent free, high-throughput structural biology based design, #AI COVID Moonshot Melissa Boby Frank von Delft Daren Fearon science.org/doi/10.1126/sc…

New &amp; impressive <a href="/ScienceMagazine/">Science Magazine</a>
Here's how you discover a potent new drug vs Covid 
212 scientists/15 countries
Open-science, patent free, high-throughput structural biology based design, #AI <a href="/covid_moonshot/">COVID Moonshot</a> <a href="/melissa_boby/">Melissa Boby</a> <a href="/FrankvonDelft/">Frank von Delft</a> <a href="/Darenfearon/">Daren Fearon</a> 
science.org/doi/10.1126/sc…
Matteo Ferla (@matteoferla) 's Twitter Profile Photo

The COVID Moonshot paper is out in Science: but can it help you as a compchem algo testset? Yes! All steps (frag to lead) crystallised & assayed, incl. negatives. Diverse methods, 4 series. Don't take my word, have a gander yourself: fragalysis.diamond.ac.uk/viewer/react/p…

The <a href="/covid_moonshot/">COVID Moonshot</a> paper is out in Science: but can it help you as a compchem algo testset? Yes! 
All steps (frag to lead) crystallised &amp; assayed, incl. negatives. Diverse methods, 4 series. Don't take my word, have a gander yourself: fragalysis.diamond.ac.uk/viewer/react/p…
John Chodera (he/him) (@jchodera) 's Twitter Profile Photo

Here's what I spent the last few years working on. Incredibly proud of the work done by all of the amazing scientists and volunteers who contributed, and optimistic for the future of open science drug discovery for globally equitable and affordable access: x.com/ScienceMagazin…

ASAP Discovery (@asap_discovery) 's Twitter Profile Photo

The incredible ASAP Discovery team members working with XChem collected 14,631 X-ray datasets and deposited 6.7% of all X-ray structures in the PDB for ASAP in 2023 to advance structure-based antiviral discovery--with hundreds more pending release. 🚀

The incredible <a href="/asap_discovery/">ASAP Discovery</a> team members working with <a href="/XChem_DLS/">XChem</a>  collected 14,631 X-ray datasets and deposited 6.7% of all X-ray structures in the PDB for ASAP in 2023 to advance structure-based antiviral discovery--with hundreds more pending release. 🚀
Matteo Ferla (@matteoferla) 's Twitter Profile Photo

Before the break I presented at the AViDD forum (asapdiscovery.org/forum/) for which I am very grateful for, but totally forgot to share the link: youtube.com/watch?v=kieDWY… (Title: Advancing Fragment-Based Drug Discovery in the ASAP Discovery consortium with Fragmenstein)

Matteo Ferla (@matteoferla) 's Twitter Profile Photo

It took a while but it's here: the Fragmenstein preprint! chemrxiv.org/engage/chemrxi… A big thank-you to everyone who helped in its creation, especially user feedback!

It took a while but it's here: the Fragmenstein preprint!
chemrxiv.org/engage/chemrxi…
A big thank-you to everyone who helped in its creation, especially user feedback!
Matteo Ferla (@matteoferla) 's Twitter Profile Photo

Last month I attended RSC Fragments 2024, which was very interesting. Here are my take home concepts: blopig.com/blog/2024/04/r…

Matteo Ferla (@matteoferla) 's Twitter Profile Photo

RFdiffusion is sometimes quirky, often infuriating, but most often fun. As a result, I wrote a long blogpost on how to manipulate and score RFdiffusion models in PyRosetta 📚🛠️blopig.com/blog/2024/05/p…

Leo Klarner (@leoklarner) 's Twitter Profile Photo

Generative models for molecular optimization & protein design often rely on data-driven guidance functions for conditional sample generation. Our new #ICML2024 paper presents a simple but effective approach to improve their performance in OOD settings. arxiv.org/abs/2407.11942

Generative models for molecular optimization &amp; protein design often rely on data-driven guidance functions for conditional sample generation. Our new #ICML2024 paper presents a simple but effective approach to improve their performance in OOD settings.
arxiv.org/abs/2407.11942
Oxford Protein Informatics Group (OPIG) (@opiglets) 's Twitter Profile Photo

OPIG DPhil student Gemma Gordon led work to build and analyse "PLAbDab-nano: a database of camelid and shark nanobodies from patents and the literature". Just released on bioRxiv and available as an OPIG webapp: Preprint: biorxiv.org/content/10.110… Webapp: opig.stats.ox.ac.uk/webapps/plabda…

Oxford Protein Informatics Group (OPIG) (@opiglets) 's Twitter Profile Photo

DPhil student Ollie Turnbull has built pIg-Gen, a language model for paired-chain antibody generation. It creates diverse, natural-like distributions of antibodies w/ similar biophysical properties to therapeutics. bioRxiv: biorxiv.org/content/10.110… Code: github.com/oxpig/p-IgGen

Oxford Protein Informatics Group (OPIG) (@opiglets) 's Twitter Profile Photo

DPhil student Steph Wills has led efforts to expand catalogue searching via bioisosteric fragment merges, using a graph database approach. Preprint now available on the bioRxiv: biorxiv.org/content/10.110…

Oxford Protein Informatics Group (OPIG) (@opiglets) 's Twitter Profile Photo

OPIGlets are out in force at #AIChem24, organised by our very own Garrett M. Morris DPhil students Lucy Vost, Arun Raja and Ísak Valsson are presenting posters, and Yael is giving a talk about her recent work MolSnapper on Wednesday! Please come and chat to them!