Avantika Negi @scroll_Avant
sometimes here sometimes not linkedin.com/in/avantika-ne… Chicago, IL Joined March 2020-
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Avantika Negi retweeted
LipoID profiles lipid droplet interactions and identifies interorganelle regulators nature.com/articles/s4158…
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Avantika Negi retweeted
Behold one of the mightiest tools in mathematics: the camel principle. I am dead serious. Deep down, this tiny rule is the cog in many methods. Ones that you use every day. Here is what it is, how it works, and why it is essential:
Avantika Negi retweeted
Avantika Negi retweeted
Plant pathogens use secreted effectors to trick plant cells into providing sugary treats. Learn more in a new #SciencePerspective: scim.ag/4q1LoA2
Avantika Negi retweeted
Hokusai
Avantika Negi retweeted
I wrote a 4000-words long article about all the math you need to know for machine learning. Trust me, you want to bookmark this: thepalindrome.org/p/the-roadmap-…
Avantika Negi retweeted
The Immune Response
Avantika Negi retweeted
By Yutaka Murakami.
Avantika Negi retweeted
'The London Underground' (from 'This Is London', 1959) by Miroslav Šašek
Avantika Negi retweeted
Who knew that a little worm would be so important for scientific progress? The roundworm C. elegans can be connected with many Nobel Prizes. In 1986, medicine laureate Robert Horvitz used the roundworm to identify two of the genes needed for programmed cell death to occur. The 2024 medicine laureates Victor Ambros and Gary Ruvkun also used C. elegans to discover microRNA, a new class of tiny RNA molecules that play a crucial role in gene regulation. Their groundbreaking discovery revealed a completely new principle of gene regulation. This turned out to be essential for multicellular organisms, including humans. Read more about their discovery: nobelprize.org/prizes/medicin…
Avantika Negi retweeted
Marcus Aurelius was the inventor of stochastic gradient descent.
Avantika Negi retweeted
Another great essay on "Theory, models and biology" which is an even-handed treatise on why theory & biology don't easily mix. Shou, 2015. elifesciences.org/articles/07158
Avantika Negi retweeted
Rolling into the holidays. 📸: @Sajeerp_ #IIScframes
Avantika Negi retweeted
Late-night gene assembly. For tedious or high stakes reactions, I wait until nightfall when my brain works best. Time to blast some Sleep Token and crank these out. ✂️🧬🦠
Avantika Negi retweeted
Camillo Golgi received the 1906 medicine prize for discovering nerve cells could be stained with silver nitrate. This enabled Golgi and other researchers to make detailed studies of our nervous system, such as the ones pictured. Learn more: bit.ly/2WxPIs3
@MugeshLab_IISc @kusajiraul @Hari_Chakrapani Congratulations Dr. Kusaji!
Avantika Negi retweeted
Marie Skłodowska Curie defended her doctoral thesis on radioactive substances at Université de la Sorbonne in Paris on 25 June 1903 and became the first woman in France to receive a doctoral degree.
@aditibehl_ Hey! I’m great how are you? We should catch up soon! 💪
Avantika Negi retweeted
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data １．The paper introduces CryoBoltz, a novel method that combines cryo-EM density maps with pretrained protein structure prediction models, specifically AlphaFold3, to generate accurate atomic models of dynamic biomolecular complexes. ２．CryoBoltz overcomes a major challenge of existing models, which struggle to predict diverse conformational states of proteins, by guiding the structure prediction process with experimental data from cryo-EM, enhancing the flexibility of the predictions. ３．A key innovation of CryoBoltz is the multiscale guidance approach, which uses both global and local structural constraints from cryo-EM maps to improve prediction accuracy without requiring additional training. ４．The method significantly outperforms unguided models like Boltz-1 and AlphaFold3, particularly in modeling dynamic and heterogeneous structures, such as transporters and antibodies, which are difficult to predict with conventional methods. ５．Through extensive experiments, CryoBoltz demonstrated the ability to model conformational states missed by other models, showing improvements in accuracy, especially in regions critical for function, like CDR loops in antibodies. ６．The approach is tested on synthetic and real cryo-EM maps of diverse biomolecular systems, showing that CryoBoltz outperforms baseline methods like Boltz-1 and AlphaFold3, both in terms of RMSD and TM score, making it a powerful tool for structural biology. ７．CryoBoltz’s flexibility and speed allow it to generate high-quality models in minutes, significantly reducing the time and effort required for manual refinement, especially for complex and dynamic proteins. 📜Paper: arxiv.org/abs/2506.04490… #CryoEM #ProteinStructure #AlphaFold #MachineLearning #StructuralBiology #Bioinformatics #AI
Avantika Negi retweeted
one of Steve Jobs' best lines. simplicity is so hard.
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