Are there any recent publications from SiDock project?

On the publications page, I see a lot of things from 2021 and one from 2022
https://www.sidock.si/sidock/publications.php

But on news page I see more recent updates such as changing from Sars-Cov-2 targeting to Ebola targeting in December 2023.

I can't understand everything in the scientific papers but I like to at least try to read them :)

Thank you for your efforts SiDock team!

I agree with this thread, it would be interesting to see if our contribution led to discoveries of any kind

Are there any updates on this project's work? It's been silent since months

No publications for a few years unfortunately

https://www.sidock.si/sidock/publications.php

https://boinc.berkeley.edu/pubs.php

So how do we know we aren’t contributing in vain? What even happens with the data we process?

So how do we know we aren’t contributing in vain? What even happens with the data we process?

Hi Krzysztof,
I’m 100% certain that the CPU time we donate is very useful for the research, and that the project is contributing meaningfully to science related to the selected targets — because there have been scientific publications in the past that were peer-reviewed.

That said, I do think your question is something the project team should respond to directly.

However, I asked ChatGPT about this, and it confirmed that our contributions are indeed critical to the scientific process behind SiDock.
Below is the full reply I received from ChatGPT-4o. This answer is not official in any way, and I can’t guarantee it’s correct in every detail — but I’m posting it here for context, in case you or others are interested in what answer ChatGPT gave to me.

ChatGPT-4o:
" SiDock@home performs large-scale in silico (computer-based) screening of drug-like molecules against specific viral targets. The goal is to identify potential small-molecule inhibitors that could interfere with essential viral functions — such as binding, entry, or replication — using advanced computational techniques.

For example, in Target #23 (Ebola GP1), the project focuses on the Ebola virus glycoprotein — a critical protein that allows the virus to bind and fuse with human cells.

SiDock uses:
– High-resolution 3D protein structures
– Molecular docking to predict how molecules may bind
– Molecular dynamics simulations to refine those predictions

This process helps researchers:
– Rapidly filter millions of compounds down to a few promising candidates
– Identify structural binding sites and potential mechanisms of inhibition
– Provide detailed ranked lists of candidates for further experimental evaluation

The results can then guide laboratory researchers who may test top candidates in future studies, potentially speeding up early-stage drug discovery.

Furthermore, targets are selected based on both scientific importance and community input. In the case of Target #23, volunteers voted for Ebola GP1 as the next focus — showing how citizen science and expert planning work together in the project.

Importantly, previous SiDock targets have already contributed to scientific publications in peer-reviewed journals. One such example is:
“Prioritisation of Compounds for 3CLpro Inhibitor Development on SARS-CoV-2 Variants”,
Reference: Jukič, M., Škrlj, B., Tomšič, G., Pleško, S., Podlipnik, Č., & Bren, U. (2021). Prioritisation of Compounds for 3CLᵖʳᵒ Inhibitor Development on SARS‑CoV‑2 Variants. Molecules, 26(10), 3003. https://doi.org/10.3390/molecules26103003

In short, SiDock@home is conducting meaningful and technically sound computational research in drug discovery, and the work you contribute to is part of a real and structured scientific process. "

With best regards