 So if everything goes right, you should be seeing an empty screen right now, my screen actually. So the use case I'm going to demonstrate now is COVID related. Everyone is of course aware of the current pandemic. And what you are seeing on screen now is a structure of a protein from the virus, the one that you see in a kind of violet, light violet color. That's a domain of the virus, a domain of a large protein of the virus, the protein that you all know, if you know the picture of the virus and like the spikes that are on the outside of the virus. Now the way the virus penetrates our cell is to interact with a receptor, which is another protein, which is sitting on our cell. And the green ribbon representation that you show that you see here is actually the receptor on a human cell. So this is the first step in the infection process by the virus. So now we could think of a strategy to combat the virus, to compete with the receptor. So for example, see if I was to extract a small substructure from our receptor, in this case an NLX, and I could try to design a peptide that will bind stronger to the virus than our own receptors. So if you could use such a peptide, it will compete with our own receptors and prevent the entry. So we are now in a field of protein engineering, which is relevant for COVID of course, but it's also used in all kind of our life science application. So one way will be for example, and you see now a yellow part appearing to do a mutation in this peptide replacing an amino acid. Another question is is this a good choice? Is this a smart mutation? Will it lead to better binding of the peptide to this viral protein? Now that's a question that we can try to answer with one of our tools, Hadoq in particular, which is a tool we have been developing in Utrecht for almost 20 years by now and which has been offered as a web portal to our users using the EOSC infrastructure for more than 10 years. So I'm going to demonstrate you how this could be done. So now I'm switching and so I'm a user. I've heard about EOSC as a tool or European infrastructure, so I'm going to search for EOSC and I've heard about Hadoq as well. Now you see the first page and the first page I've all to do with EOSC and Hadoq, so that's good. So we are well visible and actually the first link in this page points me to the EOSC marketplace and Hadoq. So let's go there and I'm getting this page which tells me okay I'm on the European Open Science Clouds processing analysis as a service and Hadoq for the integrative modeling of biomolecular complexes. So let's well I agree to get rid of this and now I'm accessing the service. This brings me to like an intermediate step. There is no need here in principle for applying for the service directly from the EOSC but users will have to register first to be able to use our services. So let's go to the service. This brings me, got it, to the Hadoq portal and what you are seeing here is the Hadoq portal version 2.2. Now for the sake of this demonstration I want to present you a brand new portal which is the Hadoq 2.4 portal, which if everything is correct. So this is the entry point in Utrecht for the thematic services, the EOSC, we have a more thematic services in my laboratory. So now I'm going to scroll and we see that we have actually quite a number of services that operating from Utrecht and the one that we are interested in is Hadoq. Now before being able to do any submission to these portals I need to be registered which I am of course but I need to log in into the portal. I click on the login window and you see another component of the EOSC infrastructure which is the single sign-on component the EGI check-in. So now I'm going to connect to the portal and the goal here is to use my university credentials to do that. So I'm working at Utrecht and Utrecht University is here. So this is bringing me to my university login page. No typos, fantastic. So it's connected me to the EGI check-in. Yes, continue, I'm fine. And if everything goes right the portal now tells me you have been successfully logged in. Good. So now I can go to the Hadoq portal and start trying to answer this question was the change I make in this peptide good or not. So we're going to submit a new job. By the way you see here also BioXL showing up. So Hadoq is core software in the BioXL Center of Excellence project. So let's submit a new job and you will see that in these steps there is quite a lot of parameters that the user can change. So this is EOSC demo. I have two molecules. I'm going to submit it. So I need to upload a file which could come from the database but in this case it's my design peptide. And I want to use chain A from that one. So this was the peptide from the human receptor. So now I'm going to give it the viral protein which is chain B. Next. So the data have been already validated. The portal presents me with a number of options. Nothing needs to be changed for this particular use case in this case. And now I'm getting into another page which offers a lot of options and parameters. And I'm going to change them for the use case that we want to do. So we don't want to model from scratch the entire interactions. We just want to basically refine this new mutated complex and define if this is a good solution or not. You see a lot of menus that are clickable that expose all kind of parameters. So while I'm changing the parameters to something which is sensible, I could probably do anything because there might not be many experts that are understanding what I'm doing. But what you see another component of basically running thematic services is that you need to provide training to your users. Users are not going to use the resource without the proper training. So that's also a lot of investment in time, in efforts. You need people to do that. You need to put tutorials online so that people do the right things. And you also need to be ready to answer a lot of questions. So everything is ready. I can submit my computation to the portal. And now since the beginning of April, we have added options to tag our jobs as being COVID-related research. So this pop-up window appears. Is this a COVID-related research? Yes. And now the job is being submitted. So we see it has been successfully processed. And at some point it's going to start running on the grid. Now this COVID tagging that we added in the last months basically allows us on the back end to send the jobs to sites, resources that are specifically supporting COVID-related research. So negotiation between EOSC and EGI, we gain access since the months now to the US Open Science Grid resources. And we have several high-energy physics groups that are physics sites that are providing resource for this kind of COVID research. So now we don't need to wait for this job to finish, because it will take some time. So these are not question of seconds. But I have some pre-calculated results we can go to. So I'm going to the job information. So this is the one I just submitted. And here we see a previous run. And this is bringing you to the result page, what the user, what the end user will be presented with. Now users also get notified by email. So it's a very user-friendly way of dealing with complex workflow, complex computations, which completely hide the complexity of high throughput computing to the end user. So the user can look at these results. We have some citations, proper citation of the European projects and sites that are supporting us. We constantly monitor the satisfaction of your users. And then you are presented with results statistics. In this case, you see here a score. And this score would have been to, would need to be compared with the score of the wild-type protein, the unmuted one. And actually, I am not going to show you the comparison, but this is better than the receptor in our cells. So yes, we have improved the peptide and maybe we can do more mutations. This is of course all in-silical predictions. We need to do experiments to validate those things. Another feature of the portal, we can look at the structure directly online from the web browser. You can see here this particular residue. Of course, when I move my mouse connection might be a bit slow, but this is the mutation that we introduced and yet it's there. So now I mentioned in my introduction that we have a large user community. So I'm going to bring you to a statistic page, which is online, so everyone can look at it. So these are the number of user requests that are actually active on our portal. So we have two entry points. So you see there's about 120 that are actually active. There's a large number which is queued. You can find here the total number of jobs that have been served on the portal since the portal had been running in 2008. So it's more than 270,000. And each job submitted to the portal might translate into 1,000 high throughput jobs being sent to the EOSC high throughput resources. You can also see here that we are monitoring COVID related research since months now. And we can also have a look at the worldwide distribution of our users. So you see a map. Let's sort the users. So you see the total number of registered users for all of the Vienna Mathematics Services is reaching almost 18,000. We have seen an increasing registration in the last months because of the COVID pandemic. So a lot of people are doing COVID related projects. All together, Europe aggregated is the largest community, but you see that Asia is falling very closely in the US as well. Now finally, I'm going to show you actually the real time statistics about jobs that are running now. Actually, this is the statistics from last hour. So this has been running on the EOSC resources. So we have about more than 2,000 jobs. And in this case, it's about one third of the jobs that are running for the last hours where COVID related one. Where have those jobs been running? This is the distribution again over the last hour, over sites. So half of them have run actually in Karlsruhe, which is good in the context of the EOSC week. We don't pre-define where jobs are running. So we are using more an opportunistic computing model, but DRAC for EGI does all the magic for us and distributes where there are resources. So currently, Kit is giving us a lot of resources. This is specific also for COVID related research, like the high energy physics sites in Marseille, which put up resources specifically for COVID, but you also see the Dutch resource very importantly represented there. And finally, the last bit I want to show you. So this is the number of jobs that have been running on the infrastructure for the last 30 days. The violet color that you see there is related to COVID research. So these are all jobs that have been tagged as COVID over the last months. And this represents a significant fraction of the jobs. So with that, I want to conclude this demo. And I hope that I gave you a real life example of what the several or the thematic services can mean for users for also a real life important research question related to COVID pandemic. Thank you very much.