Sukrit Singh
@sukritsingh92.bsky.social
3K followers 1.1K following 42 posts
Biophysicist|Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | @foldingathome.org | PhD with @drgregbowman.bsky.social | Variant Effects, Protein dynamics, Dogs, Games 🇮🇳🇸🇬🇺🇸 My website: https://sukritsingh.github.io
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sukritsingh92.bsky.social
Intro time! I'm a Postdoc Research Fellow with @jchodera.bsky.social at Memorial Sloan Kettering Cancer Center! If you want to talk about protein dynamics, biophysics, precision medicine, drug resistance, and/or puppy photos, reach out! I'm on the job market looking for faculty positions!
A slide with the title "Different variants can have different selectivities" followed by 4 pictures of different dogs and an arrow pointing to their favorite toy. Each dog has a different favorite toy, and one dog, has no favorite toy at all! An image with an overview of Sukrit's research program. The top half is a workflow connecting patient samples to ranking therapeutic options by efficacy, connecting them using physics-based mechanistic models. The bottom half elaborates on the idea of physics based mechanistic modeling, with three different areas that correspond to different projects and their outcomes
Reposted by Sukrit Singh
biorxiv-biophys.bsky.social
How many crystal structures do you need to trust your docking results? https://www.biorxiv.org/content/10.1101/2025.09.19.677428v1
Reposted by Sukrit Singh
aixbiobot.bsky.social
How many crystal structures do you need to trust your docking results? [new]
Accurate drug docking needs crystal struct. Template docking via mol. similarity helps w/ ltd. data.
How many crystal structures do you need to trust your docking results? Figure 2 Figure 3 Figure 4
Reposted by Sukrit Singh
mskcancercenter.bsky.social
DYK: 76% of MSK postdoctoral researchers are international, coming from more than 60 countries for training and mentorship that translates into scientific discoveries across the globe? 🌎 Learn more about our incredible MSK postdocs:

#PostdocAppreciationWeek
International Postdocs From 60 Countries Are Training at MSK in 2025
What inspires the outstanding young scientists who come from around the world to train at MSK?
www.mskcc.org
sukritsingh92.bsky.social
On Monday I took my Oath of Allegiance and become a Naturalized US Citizen! Huzzah!
Sukrit, dressed in a blue and gray suit, is standing in front of the stage at a Naturalization ceremony holding a US flag
sukritsingh92.bsky.social
I was thinking like a 3D Celtic Knot more but pretzel is equally valid (and more delicious)
sukritsingh92.bsky.social
Can't wait to simulate whatever this is 🤔
Reposted by Sukrit Singh
Reposted by Sukrit Singh
dndi.org
📢Important announcement! Today, the @asapdiscovery.bsky.social consortium disclosed the structure of our preclinical candidate, ASAP-0017445, a promising broad-spectrum antiviral with potent activity against SARS-CoV2 and other viruses belonging to the same family. (1/10)
Reposted by Sukrit Singh
jchodera.bsky.social
This is the moment we've worked toward for a long time: First public disclosure of the @asapdiscovery.bsky.social pan-coronavirus antiviral aiming to help keep humanity safe from future pandemic threats like MERS-CoV and other bat coronaviruses.
dndi.org
📢Important announcement! Today, the @asapdiscovery.bsky.social consortium disclosed the structure of our preclinical candidate, ASAP-0017445, a promising broad-spectrum antiviral with potent activity against SARS-CoV2 and other viruses belonging to the same family. (1/10)
sukritsingh92.bsky.social
This work is now published in J Phys Chem B! Check out our work showing that simulations predict the impact of distal mutations on kinase-inhibitor binding, and our experimental NanoBRET dataset of 94 kinase mutations that provide a benchmark for future methods. Link:
pubs.acs.org/doi/full/10....
Illustration showing a pipeline for predicting the impact of ABL1A kinase domain mutations on inhibitor binding. On the left, icons labeled 'Physics-based simulations' and 'Data-driven methods' feed into 'Prospective ΔΔG Predictions.' On the right, a 3D ribbon model of the ABL1A kinase domain (gray) highlights clinically observed mutations in orange and an inhibitor in blue.
Reposted by Sukrit Singh
cbo.bsky.social
"No one is coming out of the sky to give you your grant money. Your citation portfolio won’t survive this market crash. Your credentials mean nothing. Everything is going to change."

New for @undark.org

undark.org/2025/03/06/o...
How Science Can Adapt to a New Normal
Opinion | In the wake of attacks on the research enterprise, scientists need to focus on protecting its fragile infrastructure.
undark.org
Reposted by Sukrit Singh
prasad.bsky.social
NIH operates three cycles of grant review, approval for funding, and actual notice of award

right now all three cycles are blocked

if noncompeting awards are frozen, that's a fourth block

American science is running out of oxygen because of an acute airway obstruction
nanopharmnc.bsky.social
Can speak from personal experience that some non-competitive renewals are also not going out. We were expecting a non-competitive renewal on 2/1/25 that has not been received
jeremymberg.bsky.social
Extending my grant update this morning. Here are data limited to new and competitive renewal applications.

The Pause is dead, Long live the Pause...
sukritsingh92.bsky.social
It's important to communicate to the public the importance of basic science. Coco is happy to help explain drug binding mechanisms and enzyme kinetics basics:
#scicomm
Composite image illustrating enzyme inhibition concepts with a black dog in different poses:

Top-left: The dog wears a pink flying disc on its head, labeled “Non-competitive (allosteric) inhibition (E–Inc).”
Center: The dog in a tub, tongue out, labeled “E,” connected to “E–S” (enzyme–substrate).
Top-right: The dog holding a yellow tennis ball, labeled “Competitive inhibition (E–Ic).”
Bottom-center: The dog chewing a blue ball, labeled “Substrate binding.” Arrows and labels show the relationships between each form of the enzyme.
Composite image demonstrating “good” versus “bad” enzyme–substrate binding with the same black dog:

Left: The dog with a blue ball in its mouth, labeled “E–Sᵍ” (“bad” binding mode).
Center-left: The dog in a tub with tongue out, labeled “E.”
Center-right: The dog holding a blue ball in a more controlled way, labeled “E–S” (“good” binding mode).
Far right: The dog beside shredded toy pieces, labeled “E + P” (product formation). Text labels and arrows illustrate the transition from enzyme–substrate complexes to products.
Reposted by Sukrit Singh
annikabarber.bsky.social
Wondering if your study section cancelled? I update this sheet daily. As of today, 56/124 study sections that should have met since Jan 2, 2025 have "not met as scheduled." docs.google.com/spreadsheets...
2025 Study section tracking
docs.google.com
Reposted by Sukrit Singh
valeriejhorsley.bsky.social
Please share:
@delauro.house.gov is cochair of the US House Congressional Rapid Response Task Force and Litigation Working Group.

They are looking for instances where the impoundment and restriction of NIH/NSF funds is having a negative impact. Submit examples here delauro.house.gov/constituent-...
2025 Federal Financial Assistance Freeze
On Monday, January 27th, 2025, President Trump issued an order to freeze virtually all of approved and legally required federal funding.
delauro.house.gov
Reposted by Sukrit Singh
jmzmuda.bsky.social
An #NIH-funded research team has developed an mRNA vaccine to treat pancreatic cancer. Results from the clinical trial were published this week in Nature.

#pancreas #cancer #mRNA #vaccine #medsky #science #medicine #bluesky
In Early-Phase Pancreatic Cancer Clinical Trial, Investigational mRNA Vaccine Induces Sustained Immune Activity in Small Patient Group
Learn how MSK researchers are deploying mRNA vaccines against pancreatic cancer.
www.mskcc.org
Reposted by Sukrit Singh
jeremymberg.bsky.social
Graduate admissions being put on hold because of the chaos...
cbibberson.bsky.social
I created a brief spreadsheet of reductions I've heard of so far. Any additions you know of (especially if you have the links/receipts) would be great: docs.google.com/spreadsheets...
Graduate Reductions Across Biomedical Sciences (2025)
docs.google.com
Reposted by Sukrit Singh
jchodera.bsky.social
Excited to share what I’ve been working on with @tkaraletsos.bsky.social to transform the field of drug discovery with atomistic foundation simulation models!

I could not be more thrilled to be working with this dream team.

achira.ai
andrewedunn.bsky.social
NEW: Achira has launched with a $33M seed round

I talked with CEO @jchodera.bsky.social about plans to combine AI- and physics-based methods for drug discovery and moving beyond 45 years of the same type of models behind molecular dynamics.

My latest @endpts.com:

endpts.com/achira-raise...
Reposted by Sukrit Singh
sonyahanson.bsky.social
We are hiring a Flatiron Research Fellow in the Structural Molecular Biophysics team! Experience with cryoEM and/or membrane protein simulations are a plus! Happy to chat in person with anyone at #bps2025 ! apply.interfolio.com/160227
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
Reposted by Sukrit Singh
jchodera.bsky.social
Everything is chaos, but I wanted to share some awesome recent science from the lab that hints at where the future of biomolecular simulation is headed:

Foundation simulation models that can be fine-tuned to experimental free energy data to produce systematically more accurate predictions.
Figure 1 from arXiv preprint https://doi.org/10.1101/2025.01.06.631610

Fig. 1 Espaloma is an end-to-end differentiable molecular mechanics parameter assignment scheme for arbitrary organic molecules. Espaloma (extensible surrogate potential optimized by message-passing) is a modular approach for directly computing molecular mechanics force field parameters FFF from a chemical graph G such as a small molecule or biopolymer via a process that is fully differentiable in the model parameters FNN. In Stage 1, a graph neural network is used to generate continuous latent atom embeddings describing local chemical environments from the chemical graph. In Stage 2, these atom embeddings are transformed into feature vectors that preserve appropriate symmetries for atom, bond, angle, and proper/improper torsion inference via Janossy pooling.54 In Stage 3, molecular mechanics parameters are directly predicted from these feature vectors using feed-forward neural networks. This parameter assignment process is performed once per molecular species, allowing the potential energy to be rapidly computed using standard molecular mechanics or molecular dynamics frameworks thereafter. The collection of parameters FNN describing the espaloma model can be considered as the equivalent complete specification of a traditional molecular mechanics force field such as GAFF38,39/AM1-BCC55,56 in that it encodes the equivalent of traditional typing rules, parameter assignment tables, and even partial charge models. Reproduced from ref. 49 with permission from the Royal Society of Chemistry.
Reposted by Sukrit Singh
drgregbowman.bsky.social
Nice time catching up with folks from @foldingathome.org at #bps2025
Reposted by Sukrit Singh
markpolk.io
Excited to be in LA for #BPS2025 @biophysicalsoc.bsky.social! I’ll be presenting a poster on our high-throughput fluorescence-based assay for kinase inhibitor binding in the West Exhibit Hall on Monday at 2:45 PM (board B60).
sukritsingh92.bsky.social
Also from our lab: @markpolk.bsky.social will be presenting a poster (B60, Monday @ 2:45pm) on our high-throughput screening setup that measures kinase-inhibitor binding affinities! Come hear about our robots! bsky.app/profile/mark...