13.20 da poyezd yetib borarkan. Unda joylashib, biroz nafas rostlab kn sizga tel qilaman

Eeendi uyga kelib nafasni rostlab yozaman. Eng uzoqdan biz bordik manimcha))))Oshga gap va soʻz boʻlishi mumkin emas!!! Hamma masaliqlari ideal darajadi. Bolalarga ham manzur boʻldi. Porsiyasi juda koʻoʻoʻoʻp lekin. Ish kunlari borolmasakda dam olish kunlarida grafikka kiritdik☺️

Aprel kommunal to'lovlar bo'yicha nafas rostlab oladigan oy.

Oldin soliq bazasini rostlab olsa boʻlardi, odamlarni aslida yoʻq uylari bazasidan chiqib, ularga soliq hisoblab yotibdi

Hayotda mashxurlarni ko'rishsa, o'zini boshqara olmaydiganlarga hayron qolaman. Ular ham odam, yugirib chopib borishing shart emas, sal nafasingni rostlab ol. Senga pul berib ketmaydi judayam nochor bo'lsang ham.🫡

Super excited to be participating with @rostlab!

Stajni rostlab, arizani qayta yuborgandik, pasport chiqdi.

Ilgaklari koʻp, kiyim ilishga qulay narsa, baʼzida ish qilib kelib, ustida oʻtirib, nafas rostlab olsayam boʻladi 😅

Ozroq nafas rostlab olishi uchun bir kun yarim kun imkon berib keyin: "byaxke shuytib yuravermaymizku, aslida vaziyat bunaqa edi..." deb tizginni olib boshqarib ketish kerak. 10 minut yetadi, hammasi avvalgi holiga qaytadi. Yaxshi yakun shunday Yomonini bilmadim, yomon bo'lsa kk

-performance is invariant to model size (suppl. data from @rostlab) contrasting pretraining metrics -FT boosts performance (shortcoming of prev. approaches) -LoRA & Full FT perform on par (as found by @amelie_iska and rostlab), layer freezing too ( less hyperparams to tune)

Results of the Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design 1. The Protein Engineering Tournament is an open science initiative that combines in silico predictive modeling with in vitro protein design to benchmark computational approaches in protein engineering. 2. The pilot tournament featured seven teams predicting biophysical properties and designing novel protein sequences using datasets provided by academic and industry collaborators. 3. Unique two-round structure: an in silico phase assessed model predictions using donated datasets, while an in vitro phase tested the functional performance of computationally designed proteins. 4. Teams tackled multi-objective optimization challenges like maximizing enzyme activity, stability, and expression, leveraging diverse computational approaches, including language models, structural modeling, and evolutionary algorithms. 5. The tournament produced a publicly available α-amylase dataset with ~1,200 variants, offering insights into expression, thermostability, and specific activity, fostering transparency and collaboration. 6. TUM Rostlab emerged as a standout, delivering the highest-performing enzyme variant, demonstrating the tournament’s potential to identify superior protein engineering strategies. 7. The initiative sets a new standard for benchmarking in protein engineering, addressing gaps in reproducibility, scalability, and shareability, crucial for advancing predictive and generative modeling. 8. Future tournaments will expand to new protein functions and integrate high-throughput experimental techniques, ensuring challenges remain aligned with cutting-edge computational and experimental capabilities. @erika_alden_d @Align_Bio @ProteinDesigner @deboramarks @_nathanrollins @adil_yusuf1 @ChaseArmer 💻Code: github.com/the-protein-engin… 📜Paper: biorxiv.org/content/10.1101/… #ProteinEngineering #OpenScience #Bioinformatics #ComputationalBiology #MachineLearning

ha, rahmat, oʻzim ham keyin koʻrdim, premium olsam, rostlab qoʻyaman.

full fine tuning should mostly works better than frozen embeddings and tend to be better than Adapters if downsteam datasets are larger. It easily overfits if dataset is smaller and the reported optimal results may be already an over fit result. not really optimal

We showed that full fine-tuning works better than frozen embedding for both CARP and ESM on most tasks in the CARP paper @rostlab cell.com/cell-systems/abstra…

Derazadan kaaaatta chigirtka kirib qolib har yoqqa sakrab qoʻrqitdi. Faridaga hamla qilmasin deb shippak bilan urgandim, yerga qapishdi. Oʻldi deb oʻyladim, lekin ushlashga qoʻrqdim. Sal turib qarasam qaddini rostlab qasos olishga shay boʻpturibdi. Fobiyaaaaaaaaaaaaaa😖

Also super grateful to these methods developers from @rostlab to provide really usable stuff that enable us to create other tools like Fantasia github.com/MetazoaPhylogenom…. See you all at @ISMB2024 10/n

Bobom shunaqa edilar, kostyum shimga tapochka, shalvar bilan tufli qilib kiyib chiqib ketardila, buvim to’xtatib, yosh bolaga o’xshisiza dib ust boshlarini rostlab ko’chaga chiqarardila😹

Menga eng yoqqani, Kuala lumpurning markazlaridan birida Al-Bukhary masjidi qad rostlab turibdikan. Juda ham chiroyli qurilgan. Bundan musulmonligimdan va ozbekligimdan yana bir bor faxrlandim togrisi

Ultra-fast and alignment-free variant effect prediction by training a small neural network on top of protein language model embeddings to predict the outputs from an MSA-based variant effect predictor. @LiniMuc Julius Schlensok @MarinaAbakarova @rostlab @LaineElodie @rostlab

▪️Maktab direktori — tadbirlarni ochib beruvchi shaxs. Tadbir yarmiga yetmasdan qayerdandir chaqiruv kelib, juftakni rostlab qoladi.