SORS: From microscopic to macroscopic: exploiting structure to predict viral-host protein-protein interactions and unravel molecular and phenotypic features of viral infection

Date: 16/May/2019 Time: 11:00


Sala d'actes de la FiB (Campus Nord)

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15th December 2022. 10:30 am. UPC's Vèrtex Building Auditorium + Gardens & Virtual

We are looking forward to celebrating the BSC staff annual meeting this year.

As in the previous edition, the event will be online and shorter.

The event will begin on December 15th at 10:30 am. We will send you a link nearer the time so you can connect.

Even more than normal, we hope that as many BSC staff as possible will be able to attend and participate.

You can participate by telling us:

What you would like to know about?

Let us know which subjects you find interesting to be incorporated into the BSC directors’ presentations.
Deadline exceeded

What would you like to listen to?

What you would like to share?

We would like to know more about your work, so we have booked one hour of the Annual Meeting to listen to 6 BSC employees that will explain what they do. We encourage you to be one of them.

What I would like to explain

Coming soon

 BSC Talks

We have booked time for 6 employees to explain in 6 minutes what you do at BSC.

The event will be VIRTUAL but the BSC Talks will be presented from the studio where the event is taking place.

We would like you to make short, attractive presentations (6 minutes) so all the BSC staff know what you do.

You could be one of those to go up the stage, and we will help you to prepare it.

What will you need to do?

  1. Let us know about what you would like to explain.
    • Send us a short video (landscape) of 45 seconds’ maximum explaining what you would like to present at
    • State your name, department, research group and a provisional title for your talk.
    • Deadline: November 29th.
  2. All the BSC staff will vote for the 6 most interesting proposals.
    • All videos will be available at the web page and the voting process will be open. Each employee will be able to vote up to 3 proposals.
  3. If your proposal is one of the chosen ones:
    • A training session will be organized for the 6 most voted.
  4. Prepare a 6 minutes’ presentation.
  5. The best presentation of December 15th will be awarded!

Directors’ presentation of 2022

We would like to know what subjects you are interested in so as to incorporate them in the directors’ presentation of the center. Fill in this form with your questions.


Abstract: Viral-host protein-protein interactions (PPIs) enable viruses to manipulate the host’s cellular machinery. Identification of viral-host PPIs is crucial to understand molecular events mediating viral infection, yet our knowledge is exceedingly sparse. We implemented P-HIPSTer (Pathogen Host Interactome Prediction using STructure similarity;, a computational tool that employs structural information to predict viral-host PPIs. We applied P-HIPSTer on 1,001 human viruses representing 28 viral families known to infect humans, obtaining an experimental validation rate of ~76%. Among our predictions we find i) Zika virus interacting human proteins that relate to clinical symptoms observed in recent outbreaks and; ii) viral-host PPIs associated with the oncogenic potential of human papillomaviruses. Moreover, our predicted pan viral-human PPIs enable the discovery of shared host machinery employed by human viruses. P-HIPSTer is the largest initiative to model the viral-human interactome, providing high-resolution interaction models for ~85,000 viral-human PPIs. In addition, atomic models of viral-host PPIs facilitate the evaluation of zoonotic risk of viruses such as Bombali ebolavirus (BOMV), a newly discovered virus found in bats. Modeling the BOMV-human PPI that mediates viral entry, along with experimental assays, showed that BOMV can indeed infect human cells. Altogether, our structure-based approach provides novel molecular insights into cellular processes underlying viral infection and enables the discovery of genotype-to-phenotype associations, such as clinical outcome or viral tropism.


Short bio: Gorka Lasso ( is an associate research scientist at the Department of Systems Biology, Columbia University, New York. He studied biochemistry at University of Navarra before completing his Ph.D. at University of Wales Swansea, where he developed predictive algorithms to annotate structural and functional properties of membrane proteins. During his post doc in CICbioGUNE, he combined cryo-electron microscopy and protein modeling techniques to decipher the conformational landscape of a multifunctional metabolic enzyme. His current work focusses on the development of computational framework that employs a Bayesian network and structural information to predict viral-host protein-protein interactions.


Gorka Lasso, Associate research scientist, Columbia University