Melike
@mberksoz.bsky.social
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Postdoctoral Researcher @Sabanci University - comp bio
https://mberksoz.github.io/
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Melike
Ekrem İmamoğlu
5 months ago
Öyle karanlık bir tünele girdin ki çıkamıyorsun. Artık uyan, bir geriye çekil ve ülkeyi kendi ellerinle getirdiğin şu hale bak!
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Chatgpt 4.5 is horrible for any research query. It hallucinates like crazy, mostly pulls up wikipedia pages as primary resource.
8 months ago
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We developed a computationally efficient method to predict hot spots driving conformational changes in small molecule sensing proteins. It can easily be generalized to explore allosteric couplings in a wide range of proteins. Code available in the preprint, check it out !
#compchem
#compbio
add a skeleton here at some point
8 months ago
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reposted by
Melike
9 months ago
We have just moved here, and trying to get settled. Let's start with the good news of the day: Our manuscript on 'Ranking Single Fluorescent Protein-Based Calcium Biosensor Performance by Molecular Dynamics Simulations' was the
#HighlightOfTheWeek
by @JCIM_JCTC.
x.com/JCIM_JCTC/st...
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x.com
https://x.com/JCIM_JCTC/status/1880328471546851592
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reposted by
Melike
9 months ago
Summer seems still far away, but actually there's less than one month time to register! Take a look at this video to get into the summer school mood:
www.youtube.com/watch?v=ad9E...
add a skeleton here at some point
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This is peak documentary filmmaking.
9 months ago
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reposted by
Melike
Bird account
10 months ago
Deep learning for proteins tutorial:
github.com/Graylab/DL4P...
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GitHub - Graylab/DL4Proteins-notebooks: Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design - Graylab/DL4Proteins-notebooks
https://github.com/Graylab/DL4Proteins-notebooks/tree/main?tab=readme-ov-file
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Check out our latest paper in JCIM, where we dive into the mystery of fluorescent biosensors—how they work and why some outshine others—using classical and enhanced MD simulations.
@cananatlgn.bsky.social
#compchem
pubs.acs.org/doi/10.1021/...
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Ranking Single Fluorescent Protein-Based Calcium Biosensor Performance by Molecular Dynamics Simulations
Genetically encoded fluorescent biosensors (GEFBs) have become indispensable tools for visualizing biological processes in vivo. A typical GEFB is composed of a sensory domain (SD) that undergoes a conformational change upon ligand binding or enzymatic reaction; the SD is genetically fused with a fluorescent protein (FP). The changes in the SD allosterically modulate the chromophore environment whose spectral properties are changed. Single fluorescent (FP)-based biosensors, a subclass of GEFBs, offer a simple experimental setup; they are easy to produce in living cells, structurally stable, and simple to use due to their single-wavelength operation. However, they pose a significant challenge for structure optimization, especially concerning the length and residue content of linkers between the FP and SD, which affect how well the chromophore responds to conformational change in the SD. In this work, we use all-atom molecular dynamics simulations to analyze the dynamic properties of a series of calmodulin-based calcium biosensors, all with different FP–SD interaction interfaces and varying degrees of calcium binding-dependent fluorescence change. Our results indicate that biosensor performance can be predicted based on distribution of water molecules around the chromophore and shifts in hydrogen bond occupancies between the ligand-bound and ligand-free sensor structures.
https://pubs.acs.org/doi/10.1021/acs.jcim.4c01478
9 months ago
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