Montes-Montiel J.M.

MSc in Biochem & PhD Student 🧬 | Interested in Molecular Dynamics Simulations. Working with γ-secretase and other proteins. 👨🏻‍💻

[Montes-Montiel J.M. @Montes_MJM]

A pesar de muchas cosas, estudiar ciencia es un sueño hecho realidad.

[microcuentos @microcuentos]

Estoy soñando despierto, seria un crimen echarme a dormir. Andrés Moya Restrepo

[Montes-Montiel J.M. @Montes_MJM]

Fast Fourier Transform Enables Automated Parametrization of Complex Dihedral Potentials in All-Atom and Coarse-Grained Force Fields | Journal of Chemical Information and Modeling https://t.co/UmLoJ8Ucut

[Montes-Montiel J.M. @Montes_MJM]

Structural Characterization of the Interaction of γ-Secretase with GSM-1 Modulator | ACS Chemical Neuroscience

https://t.co/iV2IKY6g0F

[Cell @CellCellPress]

In the latest issue! Efficient amyloid-β degradation in Alzheimer’s disease using SPYTACs https://t.co/Yz41zuFlGe

[Molecular Cell @MolecularCell]

Mechanosensory channels mediate ER Ca2+ transients to trigger assembly of autophagosome initiation sites for degradation of ER subdomains https://t.co/nLCBchgcWA

[Science Magazine @ScienceMagazine]

In a 2025 @SciSignal Review, researchers discussed an emerging body of research on the metabolic effects of sleep loss, which disrupts the natural balance of energy within neurons. ⁠
⁠
The authors highlighted how the loss of sleep forces neurons to shunt resources to cell survival pathways, at the expense of more long-term, energy-demanding processes such as cognition and memory formation.⁠
⁠
Learn more on #WorldSleepDay: https://t.co/L5u4AQ5ytL

[Ali Max Erturk @erturklab]

Very impressive @CellCellPress paper.

Authors simulated the full life cycle of a living minimal cell in 4D, integrating gene expression, metabolism, chromosome dynamics, growth, and division in one model.

The system is JCVI-syn3A, a synthetic minimal bacterium with 493 genes. The simulation covers roughly 105 minutes of biology across the full cell cycle and required:
• 4 to 6 days of GPU compute per replicate
• about 250 GPU hours per cell
• around 15.000 GPU hours to analyze 50 cells

To me, the real message is not only the technical milestone. It is how hard even the simplest biology already is.

If this is the effort needed for a minimal cell, it becomes clear why virtual human biology will not come from mechanistic simulation alone. Human cells are far more complex, and more importantly, they live in tissues, interact with neighbors, and continuously respond to context.

That is why the future will be hybrid: mechanistic models to provide interpretable structure and biological grounding, combined with AI models that can learn complexity from large scale perturbation and spatial data.

A very important milestone for systems biology and digital biology.

https://t.co/XhX1h7hEGI

[Nature Neuroscience @NatureNeuro]

Check out our February issue!

https://t.co/Tur8bYDPLh

[Science Magazine @ScienceMagazine]

In a new Science study, researchers introduce DrugCLIP, a contrastive learning framework that virtually screens small molecules and protein pockets, analyzing protein-ligand interactions 10 million times faster than most standard molecular docking approaches. https://t.co/zr0CdXAaug

[Alice Ting @aliceyting]

Can we design mutations that predictably bias proteins towards desired conformational states?

Today in @ScienceMagazine, we introduce Conformational Biasing (CB), a simple and scalable computational method that uses contrastive scoring by inverse folding models to identify conformation-biasing mutations.

https://t.co/lbWzHNdMRJ

[Danielle Beckman @DaniBeckman]

AI investment is booming, but what about understanding human intelligence? 15% of the NIH grants cancelled this year are in #Neuroscience. Over $323 million lost. The image below is from a 94 Y.O donor, part of a project to understand the 'superager brain' that lost its funding.

[Montes-Montiel J.M. @Montes_MJM]

The State of the Art.

Really amazing research. Vielen Dank Dr. Steiner.

https://t.co/yW1I6szG3u

[allen institute @AllenInstitute]

The fireworks in your mind. 🧠✨ This sparkling video shows the neurotransmitter glutamate being released into synapses, made possible by an indicator developed by @abhi_aggarwal1, @PodgorskiLab, and team.

#HappyNewYear #NYE

[Montes-Montiel J.M. @Montes_MJM]

Very excited to learn new techniques in the field of molecular dynamics simulations.

[Montes-Montiel J.M. @Montes_MJM]

Super cool 😲

[Google for Health @GoogleForHealth]

Every biological process depends on interactions between proteins. With AlphaProteo, @GoogleDeepMind's first AI system for designing novel protein binders, we can accelerate research in drug development and disease understanding.

More: https://t.co/ukXFUdksAk

[Neuroscience News @NeuroscienceNew]

Adults Learn Skills Faster, but Kids Retain Them Better With Sleep

A new study challenges the idea that children learn motor skills faster than adults, finding that young adults are actually quicker to acquire new skills.

The research revealed that although teenagers and young adults learn faster, children retain these skills better, particularly when sleep is involved.

During the study, 132 participants across four age groups were tested on a computer-based motor task.

While adults showed quicker improvements during training, younger children displayed better skill retention after a night of sleep.

The findings suggest that age impacts not only learning speed but also memory retention processes, potentially due to developmental differences in the nervous system.

[Olson Lab @DEOlsonLab]

Check out our latest collaboration in @ScienceMagazine Magazine with @tinakim_neuro's lab, where we re-activate psychedelic-responsive neurons to induce an anxiolytic effect without a head-twitch response.

https://t.co/gBbttZfuub

[Montes-Montiel J.M. @Montes_MJM]

Really amazing !

[Ram Bhaskara @RamBhaskara4]

🚨Checkout our new publication from @IBC2_GU @goetheuni to learn how IDRs amplify membrane remodeling during ER-phagy.
Dive into our findings here: https://t.co/vQUJKzQtlJ

@EnableFrankfurt @sfb1177 🔬 @SCALE_Uni_FFM @HummerLab @DikicLab

[Jude Wells @_judewells]

Chai1 (open source version of AlphaFold3) installed in 5 mins and generates preds for this protein-protein + mol glue complex in 2 mins on a 3090. amazing.

[Miguel Amaral @miggral]

Did you know there are more than bilayer #membranes in nature? Meet the #archaeal monolayer and its surprising mechanical properties! New #preprint! (1/7)