Miriam Poley

📢 Exciting News! 🙌 The #ELIXIR3DBioInfoCommunity meeting is happening in Barcelona from March 19-21, 2025! This event is part of a collaborative gathering with @ELIXIREurope and @3DSIG_ISCB . Find everything you need on the official webpage: iscb.org/3dbioinfo2025/…

Demis Hassabis and John Jumper, the 2024 Nobel Prize laureates in chemistry, have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. The illustration below explains how it works. Read more about their story: bit.ly/4diKiJ2

¿Te apetece contarnos tu trabajo? ¡Puedes participar en el BioInfoPills de Diciembre!🤩 Será una colaboración entre RSG-Iran y RSG-Spain donde se expondrá un tema común en el que un junior (PhD a postdoc < 3 años) y un senior (>3 años postdoc/PI) de ambos nos contarán su trabajo.

Deep learning guided design of dynamic proteins - Design proteins with conformational changes, focusing on intra-domain reorientation of secondary structural elements - Use systematic physics-based conformational sampling and Rosetta Design to create a library of alternative protein states differing in local geometries - Apply AlphaFold2 and ProteinMPNN to identify key residues for state determination and design sequences compatible with multiple states - Validate designs using MD, NMR and yeast display Preprint: biorxiv.org/content/10.110…

Congrats @miriamppol on winning one of the @iscbsc Symposium poster awards! This is a great start of your PhD on this project we are carrying on together with @Alfons_Valencia! Congrats 🎉⭐

Waiting at the airport to go back home after attending the @ml4ngp conference in Thessaloniki! Our 1st scientific conference all together with the 2 PhD students that I supervise! Well done @miriamppol & @miguel_fdezmar! Excellent talks🙌! Getting ready for @ISMBinfo in July! ⭐️

Wrapping up an incredible #ML4NGPmeeting in Thessaloniki! Thank you to all our speakers and participants for making it an unforgettable event with such brilliant talks and active participation! Together, we're advancing the field of #machinelearning for #NGPs. See you soon! 👏

Almost ending our last day at #ML4NGPmeeting! What a fantastic line up of speakers! 🤩 From new peptide repositories for #Parkinson and AlphaFold2-Multimer for protein interaction prediction to #deeplearning approaches for characterizing #protein folding, we got all covered! 👏

Proud of my students @miriamppol and @maelovde who presented their work at the @BSC_CNS Severo Ochoa Doctoral Symposium! Now, getting our talks ready to attend the @ML4NGP conference next week! #DocSym24 #AI #ML #ComputationalBiology

InstructPLM: Aligning Protein Language Models to Follow Protein Structure Instructions - Use an adapter to connect the Structure Encoder (ProteinMPNN and others) with pLM (ProGen2) - Outperforms ProteinMPNN in terms of Perplexity and Recovery Rate - Validate the model by redesigning PETase and L-MDH

FrustraEvo, to calculate local frustration conservation in protein families, is out at @NAR_Open Web Server Issue 2024 doi.org/10.1093/nar/gk… Great work w/ @MFreiberge, @miriamppol, @miguel_fdezmar, @leandroradusky, @victoriaISruiz, Peter Wolynes, @diegulise & @Alfons_Valencia!

Happy to see the first years of my PhD work finally published. This tool will make your life easier if you're dealing with mapping positions from PDBs to protein sequences! Thanks to @Alfons_Valencia 's lab and specially to the guidance and patience to @eportacangen. We did it!

Happy to share our preprint with @anthonygitter that unites biophysical modeling with protein language model framework— Mutational Effect Transfer Learning (METL).

Announcement 🚨🚨🚨 Prepare your abstracts for the 20th student council symposium 2024! #SCS2024 #ISCB @iscbsc @iscb Officially the call of abstracts starts now until April 19th Send your work here➡️ iscb.org/ismb2024/submi…

Meet our co-chairs @AnaCastillo_51 and @miguel_fdezmar for the next Student Council Symposium. Let's prepared for this great event #20anniversaryISCBSC #SCS2024 @iscb @iscbsc

🧑‍💻 Presentamos el: 🔵 1º Congreso de la Sociedad Española de Bioinformática y Biología Computacional 🔴 que tendrá lugar el 16, 17 y 18 de octubre de 2024 en la Feria de Valencia, España. 📍 ¡Únete a nosotros y participa! Más info en: 👉️ congresosebibc.com/index.php?go=i…

@ConnectRD @iPC_H2020 @BSC_CNS @MRC_LMS @YCU_koho @jwmdrc @radboudumc @cnag_eu @elperiodico @Alfons_Valencia @Davide__Cirillo También podéis leer nuestras declaraciones en @diariARA es.ara.cat/sociedad/salud… @BSC_CNS @Alfons_Valencia @Davide__Cirillo #EnfermedadesRaras #EnfermedadesMinoritarias #DiaMundialdelasEnfermedadesRaras

@ConnectRD @iPC_H2020 @BSC_CNS @MRC_LMS @YCU_koho @jwmdrc @radboudumc @cnag_eu Podéis leer nuestras declaraciones en @elperiodico: elperiodico.com/es/ciencia/202… @BSC_CNS @Alfons_Valencia @Davide__Cirillo #EnfermedadesRaras #EnfermedadesMinoritarias #DiaMundialdelasEnfermedadesRaras

En el #DiaMundialEnfermedadesRaras , presentamos nuestro nuevo estudio (10 años!) sobre el potencial de los #MultilayerNetworks como solución para la investigación en #EnfermedadesRaras, publicado en @NatureComms @Alfons_Valencia @Davide__Cirillo @BSC_CNS nature.com/articles/s4146…

We finish the day with the Award Ceremony & the group picture! Thank you all & congratulations everyone! Amazing works & amazing day! VHIO Computational Oncology Award! 👩‍🎓🧑‍🎓🏆💻 #VHIOAcademy #Computational #Oncology #Masterstudents @VHIO @BiBcn