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Dec 6, 2024 | 
nature.com | Arunima Singh
Experimental and computational studies are paving way for a deeper understanding of the dynamic nature of protein–protein interactions.
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Nov 21, 2024 | 
medium.com | Arunima Singh
Arunima Singh·Follow3 min read·--Humanity lives in confusing times. A good look at the modern world and its quirks might give a young Dickensian child a heart failure. Who would have thought that humans would go from fantasising about flying cars to asking an AI chatbot how it is feeling?
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Nov 7, 2024 | 
nature.com | Arunima Singh
The research group of Jeff Nivala from the University of Washington, USA, has recently developed an approach for overcoming these limitations that enables them to reread the same protein strand multiple times. First, a negatively charged tail is attached to the protein of interest, and this quickly threads the protein through the nanopore. A folded stopper domain prevents the protein from passing through to the other side.
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Aug 9, 2024 | 
nature.com | Arunima Singh
Strategies that control the cellular phenotype in a dose- and time-dependent manner are very attractive for understanding cellular processes and for applied research such as targeted cancer therapy. Inducible gene expression approaches do not allow the rapid temporal control needed to study dynamic cellular events. In these cases, direct manipulation of protein structure and function is required, and researchers have developed tools that allow post-translational manipulation of proteins.
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Jun 20, 2024 | 
onlinelibrary.wiley.com | Arunima Singh |Arun Kumar Sharma |Chanchal Singhal |Paramjit Khurana
Supporting Information Filename Description ppl14390-sup-0001-Figures.pptxPowerPoint 2007 presentation , 16.6 MB Supplementary Fig. 1 EV pSITE-3CA and EV pSITE-4CA localization in onion epidermal cells. Supplementary Figure 2: Colocalization overlap plots for TaUSP_3B-1 vs ER Marker, TaGolS vs ER Marker and TaUSP_3B-1 vs TaGolS. Supplementary Figure 3: Transgenic line confirmation of Arabidopsis thaliana TaUSP_3B-1 overexpression plants and TaUSP_3B-1 promoter-GUS transgenic plants.
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May 14, 2024 | 
nature.com | Arunima Singh
The research group of Sjors Scheres at Cambridge in the UK and their international collaborators have developed ModelAngelo, a graph neural network-based approach that automates the process of model building for protein and RNA- or DNA-containing complexes. ModelAngelo was shown to be able to build protein models for up to 80% of all deposited maps with local resolutions between 3.5 and 4.0 Å.
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Mar 12, 2024 | 
nature.com | Arunima Singh
A group of researchers from Tsinghua University and Peking University, China, led by Hong-wei Wang and Hailin Peng, have developed a graphene sandwich-based approach for cryo-EM specimen preparation in which the graphene film serves as both a coverslip and a slide. A small droplet of the sample is applied to an EM grid precoated with a layer of graphene film. Then another layer of graphene film is placed on top of the droplet. The two graphene layers adhere to each other, encapsulating the sample.
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Jan 11, 2024 | 
nature.com | Arunima Singh
A team of researchers led by Gevorg Grigoryan at Generate Biomedicine, Boston, USA have developed Chroma, a programmable generative model that can generate proteins that fit the desired symmetry, shape and functional criteria in realistic time frames.
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Dec 6, 2023 | 
nature.com | Arunima Singh
Developments in nanopore-based peptide detection and sequencing show promise of a breakthrough. While nucleic acid bases are all negatively charged, amino acids can bear both positive and negative charges, leading to a non-uniform charge distribution along the peptide chain that hinders its smooth translocation through the nanopore. Additionally, unambiguous identification of 20 amino acids and their various post-translational modifications (PTMs) is considerably more difficult.
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Dec 1, 2023 | 
medium.com | Arunima Singh
Hey all! My name is Arunima Singh and I am 30 years old. I am a (Nothing!) by Profession. I am at a juncture where my past has been a series of failures in trying to make a career or just living life. I was preparing for an exam for around 9 years. Yes!, you heard that right! (and I didn't pass it). I had heard all my life that by being persistent in this exam, you will crack it. I couldn't clear even the first stage. I was a bright student all my life.
