Isabel Monte

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Isabel Monte

Isabel Monte

@Isabel_MonteG

Junior Professor @ZMBP_Tuebingen. Evolution of Plant Signaling Lab. Interested in plant molecular evolution, #PlantEvoDevo, #EvoMPMI and #Marchantia 💚

Tübingen, Germany 参加日 Eylül 2017
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La Revuelta
La Revuelta@LaRevuelta_TVE·
Sobre la fuga de talento sanitario de nuestro país. Se forman a increíbles profesionales que se ven obligados a continuar con su formación e investigación por la falta de recursos que encuentran aquí. #LaRevuelta @nh487
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david alabadí 🍊 dalabadi.bsky.social
A fantastic example of how a developmental novelty emerged from the connection of preexisting genetic circuits is now published in @Dev_Cell. This work is primarily from Anna Solé’s PhD thesis and led by my colleagues @IBMCP Miguel Blázquez and Javi Agustí (@agusti_lab). 👇
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Andrea Chini
Andrea Chini@AndreaChini8·
doi.org/10.1093/plphys… Dinor-12-oxo-phytodienoic acid (dn-iso-OPDA) conjugates occur naturally, and dn-iso-OPDA conjugation with amino acids reduces its bioactivity in the liverwort Marchantia polymorpha.
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Chia nan Tao
Chia nan Tao@ChiananTao1·
Thanks everyone who visited today. I had wonderful chats with many of you. To all members in ZMBP outreach team: we did a great job! @HsuanPai1 your stickers were so popular, not just with kids. Also, special thanks to @nobolly for the delivery and I enjoyed your talk a lot!
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ZMBP@ZMBP_Tuebingen

The Science & Innovations Days 2024 @uni_tue start today! If you are in Tübingen check the program 👇 and come visit us at the Science Fair today and tomorrow to learn how plants and microbes argue! 👩‍🔬🌱🦠🧑‍🔬 #SIDays2024 #plantsci #plantmicrobe #ZMBPOutreach

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ZMBP
ZMBP@ZMBP_Tuebingen·
The Science & Innovations Days 2024 @uni_tue start today! If you are in Tübingen check the program 👇 and come visit us at the Science Fair today and tomorrow to learn how plants and microbes argue! 👩‍🔬🌱🦠🧑‍🔬 #SIDays2024 #plantsci #plantmicrobe #ZMBPOutreach
Universität Tübingen@uni_tue

Vom 15.-18.11.2024 findet in #Tübingen wieder das öffentliche Wissenschaftsfestival Science & Innovation Days statt! Thema diesmal: "Besser streiten. Gemeinsam arbeiten wir dran." Programm und weitere Infos: sidays.com #SIDays24 #UniTübingen @IWMtue @WeltethosInst

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Razvan Borza
Razvan Borza@rborza_·
AlphaFold can predict protein, DNA, or RNA complexes.. BUT is it easy to determine the reliable interactions?🤔 ➡️ AlphaBridge will identify the most confident interactions, making your analysis easier! 🌐Try it here: alpha-bridge.eu 👀Read more: biorxiv.org/content/10.110…
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ZMBP
ZMBP@ZMBP_Tuebingen·
Job alert 📢 We are looking for two new staff members at the @ZMBP_Tuebingen administration! If you speak English and German, and want to help us manage third-party funding and personnel, please apply! More info 👇 Please RT!
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Biology+AI Daily
Biology+AI Daily@BiologyAIDaily·
AlphaBridge: tools for the analysis of predicted macromolecular complexes • AlphaBridge introduces tools to analyze and visualize the interfaces between predicted macromolecular complexes using data from AlphaFold3. It processes the predicted interactions into intuitive diagrams and 3D models for easy interpretation. • The tool uses a novel “Predicted Merged Confidence” (PMC) matrix, which combines the Predicted Local Distance Difference Test (pLDDT) and Predicted Aligned Error (PAE) metrics to identify multi-component structural modules and binary interfaces with high confidence. • AlphaBridge uses graph-based community clustering to detect interaction motifs in biomolecular complexes, then visualizes these interactions as chord diagrams (“AlphaBridge diagrams”) to provide a clear and intuitive summary of predicted binding interfaces. • The tool allows researchers to evaluate the reliability of interactions in predicted protein-protein, protein-DNA, and protein-RNA complexes, offering a scoring and ranking system for predicted interfaces before detailed analysis. • By varying the cut-off for contact predictions, AlphaBridge can help distinguish between reliable and unreliable predictions, providing insights into physiological relevance. It was particularly useful for evaluating interactions in DNA mismatch repair proteins and RNA binding proteins. • The AlphaBridge webserver (alpha-bridge.eu) offers an interactive platform where users can upload AlphaFold3 prediction files, visualize the predicted 3D structures, and analyze contact interfaces through an integrated web viewer. • AlphaBridge enhances accessibility for both expert and non-expert users by combining multiple layers of information—contact links, prediction confidence, and visual representations—into one interactive diagram, simplifying the evaluation of complex predictions. @TassosPerrakis @rborza_ 💻Code: github.com/PDB-REDO/Alpha… 📜Paper: biorxiv.org/content/10.110…
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