Big announcement 📢🚨 Together with the 3DBioinfo @ELIXIREurope community we are organising a joint conference in Barcelona March 19-21, 2025! If you work in Structural Bioinformatics or Computational Biophysics communities register ASAP! Only 120 spots! https://t.co/WB6V5mjUMJ

I’m happy to share the results of our contact and distance assessment in #CASP14 recently published https://t.co/dkIXJ4oGAJ @Alfons_Valencia @Albalepore @cftpontes @EMilanetti #AndriyKryshtafovych

We hope that the novel theoretical insights presented in this work provide relevant information for future studies and contribute to advancing our knowledge in the field of protein coevolution.

Finally, we observed that a very specific protein system designed to avoid crosstalk, HK-RR paralogs, generated only type-(ii) solutions, meaning that no mismatches among similar sequences were made, as expected.

Additionally, we observed that the interface size (number of contacts) was the main property contributing to the different protein families' propensity to generate type-(i) instead of type-(ii) solutions.

We observed that in type-(i) solutions presented a near-native content of mutual information correctly distributed among amino acid contacts, differently from type-(ii).

Two kinds of MSA pairing solutions were obtained at the end of the trajectories: type-(i) solutions containing trivial mismatches among similar sequences, and type-(ii) solutions containing nontrivial mismatches.

To gain further insight into this problem, we employed a genetic algorithm to search the (huge) space of possible MSA pairings using the interface mutual information as the objective function.

The problem of determining the correct set of specific protein partners based on sequence information alone can be very challenging for increasing number of sequences.

I'm super happy to share with you today this new publication, featuring the main results of my Ph.D. thesis. https://t.co/MlI8m4zO05

Excited to share our work (and my first first-author paper!!) on the evolution and host cell receptor adaptation of SARS-CoV-2, SARS, MERS and beyond  @cftpontes @Albalepore @Alfons_Valencia @BSC_CNS @Bioinfo4women @sciencedirect