Bhoomika Basu Mallik 

Doctoral Researcher, Protein Design and Self-Assembly @akhmelinlab @LMU_Muenchen | MSc Biochem, MTech Biotech | She/Her/Hers

[Bhoomika Basu Mallik  @bhoomikabasu]

@etihad I recently flew from Munich to Kolkata via Abu Dhabi, and the journey went very smoothly. With everything currently happening in the Middle East, my family and friends were quite anxious, so it was a big relief that everything was handled so well. 😊✌🏻

[Bhoomika Basu Mallik  @bhoomikabasu]

@AjasjaLjubetic @ATinyGreenCell This 👍👍👍👍👍

[Alena Khmelinskaia @khmelinskaia]

Massive collaborative effort we had the pleasure to contribute to !

[Alena Khmelinskaia @khmelinskaia]

🚨Registrations are now open for EuroCon 2026 @RosettaCommons!! Do not miss your chance to secure an early bird spot on what already promises to be an unforgettable meeting! Visit the conference website for more information: https://t.co/86y8aF2jM4

[Anastassia Vorobieva @AnastassiaVoro2]

🚨 Registration open!
Join us next April on the Belgian coast 🇧🇪 for the FEBS Advanced Course “Generative AI for Protein Engineering” 🧬
A unique, hands-on week dedicated to thinking and designing like a protein engineer.

👉 Info & apply: https://t.co/0O2mHInHLQ
#ProteinDesign

[Bhoomika Basu Mallik  @bhoomikabasu]

@ATinyGreenCell @akhmelinlab in LMU Munich

[Ajasja 💻🧬🔬 @AjasjaLjubetic]

Would you like to screen thousands of protein interactions? Do you wish there were more orthogonal coiled coils?

Then we have a treat for you!

Freshly published in @NatureComms
https://t.co/rFssEAqmKj
🧵1/N

[Center for NanoScience LMU @CeNS_LMU]

Sustainable transport for #CeNSmeetsIndustry 🚲

[Bhoomika Basu Mallik  @bhoomikabasu]

Pick of the week ChemBioChem

Check it out!!!

[Chemistry Europe @ChemEurope]

Pick of the Week, out #OpenAccess in @ChemBioChem by the team at @akhmelinlab (@LIMES_bonn):

De Novo Design of Polyhedral Protein Assemblies: Before and After the #AI Revolution https://t.co/ZZtYhf0P4q

Part of the #ChemBioTalents 22/23 Collection: https://t.co/WGw0DCRo9A

[Khmelinskaia Lab @akhmelinlab]

Our latest paper highlights the advancements achieved in the past couple of years in the realm of self-assembling de novo polyhedral polyhedras. We delve into the cutting-edge methodologies, including first principle- & AI-based approaches, that enable their precise engineering.

[ChemBioChem @ChemBioChem]

De Novo Design of Polyhedral Protein Assemblies: Before and After the AI Revolution (Khmelinskaia et al.) @akhmelinlab #OpenAccess

https://t.co/5lFWI8J7r5

[Bhoomika Basu Mallik  @bhoomikabasu]

Erinnerst du dich noch, wann du dich für Twitter registriert hast? Ich weiß es noch! #MeinTwitterJubiläum

[Bhoomika Basu Mallik  @bhoomikabasu]

In the academic realm, I often witness the struggle of individuals being measured against criteria that fail to capture their true intellectual brilliance. Let's embrace the fact that we all possess unique talents and strengths. By creating an environment that celebrates diverse abilities, we unlock the full beauty of each individual's genius. 🌟

[Alena Khmelinskaia @khmelinskaia]

**!! We are hiring !!**
With the move to the @LMU_Muenchen we are looking for an exceptionally motivated and curious PhD student to join our team @akhmelinlab in exploring the exciting protein self-assembly space through _de novo_ protein design (:

[Alena Khmelinskaia @khmelinskaia]

Back to where it started…! Excited about this new path and experiencing this fertile environment through different lenses, as Professor of Biophysical Chemistry @LMU_Muenchen. Thankful for our start in Bonn and the fantastic network we built. Munich, here we go !

[QMB Munich @MunichQbm]

QBM likes to thank @khmelinskaia for her excellent talk and the wounderful journal club 👇👇👏👏👍@BeckmannLab & @hopfnerlab are looking forward to our new collaboration! @MPI_Biochem @ELI_LMU @GeneCenter_LMU @KlughammerLab 🧪🧫🧬

[Bhoomika Basu Mallik  @bhoomikabasu]

https://t.co/pzBjImtP9k congrats to all the authors. Wonderful work!!!

[bioRxiv @biorxivpreprint]

Uni-Fold MuSSe: De Novo Protein Complex Prediction with Protein Language Models https://t.co/ZRS7xTlHMm #bioRxiv