Shukla Group (@shuklagroup) 's Twitter Profile
Shukla Group

@shuklagroup

Research Group @ChBE_Illinois, @Illinois_Alma

ID: 3251857495

linkhttp://www.shuklagroup.org calendar_today21-06-2015 16:25:55

625 Tweet

1,1K Followers

969 Following

Shukla Group (@shuklagroup) 's Twitter Profile Photo

Congratulations to Hassan Nadeem, graduate student Illinois BIOE for receiving the Mavis future faculty fellowship from the college of engineering! @uofigrainge

Congratulations to Hassan Nadeem, graduate student <a href="/BIOENGatIL/">Illinois BIOE</a> for receiving the Mavis future faculty fellowship from the college of engineering!  @uofigrainge
Shukla Group (@shuklagroup) 's Twitter Profile Photo

Congratulations to Xuenan Mi for winning the Graduate student excellence award from ACS COMP #ACSFall2024! You can read more about it here: shuklagroup.org/events/xuenan-…

Congratulations to Xuenan Mi for winning the Graduate student excellence award from <a href="/ACSCOMP/">ACS COMP</a> #ACSFall2024! You can read more about it here: 
shuklagroup.org/events/xuenan-…
Shukla Group (@shuklagroup) 's Twitter Profile Photo

Congratulations to Susanna Susanna Barrett from Mitchell group Chemistry at Illinois and Song from Shukla Group ChBE Illinois for their work on understanding how enzymes tie the lasso knot in peptides published in Nature Chemical Biology Nature Chemical Biology! igb.illinois.edu/article/resear…

Congratulations to Susanna <a href="/SusannaBar2/">Susanna Barrett</a> from Mitchell group <a href="/ChemistryUIUC/">Chemistry at Illinois</a> and Song from <a href="/ShuklaGroup/">Shukla Group</a> <a href="/ChBEIllinois/">ChBE Illinois</a> for their  work on understanding how enzymes tie the lasso knot in peptides published in Nature Chemical Biology <a href="/nchembio/">Nature Chemical Biology</a>!
igb.illinois.edu/article/resear…
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

LassoESM: A Tailored Language Model for Enhanced Lasso Peptide Property Prediction • LassoESM is a specialized protein language model (PLM) developed to improve predictions for lasso peptides, which are challenging due to their unique threaded structures and limited

LassoESM: A Tailored Language Model for Enhanced Lasso Peptide Property Prediction

• LassoESM is a specialized protein language model (PLM) developed to improve predictions for lasso peptides, which are challenging due to their unique threaded structures and limited
A. G. Roberts chemistry (@agr_chemistry) 's Twitter Profile Photo

It was our pleasure (Swanson Group) to highlight the latest on lasso peptide folding and substrate–cyclase tolerance from the Shukla, Burk, and Mitchell teams at Chemistry at Illinois ChBE Illinois lassogen: nature.com/articles/s4158…

Shukla Group (@shuklagroup) 's Twitter Profile Photo

Congratulations to Joseph Clark, undergraduate researcher in our lab and his mentor, Xuenan Mi for publication of their paper on peptide language model, PeptideESM! U of I School of Molecular and Cellular Biology Diwakar Shukla

Communications Chemistry (@commschem) 's Twitter Profile Photo

.@shuklagroup & Diwakar Shukla and colleagues report the transport mechanism of an alanine-alanine peptide through the PepTSo transporter by MD simulation nature.com/articles/s4200…

ChBE Illinois (@chbeillinois) 's Twitter Profile Photo

Congratulations to CHBE Professor Ying Diao, one of three Illinois researchers who have received Presidential Early Career Awards for Scientists and Engineers.

Congratulations to CHBE Professor Ying Diao, one of three Illinois researchers who have received Presidential Early Career Awards for Scientists and Engineers.
Prof. Keiko Torii (@keikoutorii) 's Twitter Profile Photo

Love the beautiful illustration🥰! Our work published Science Advances , featured by Daily Texan News! 私達の最新の研究成果がローカル大学新聞にて取り上げられました🤠🤘🌱🦠 "UT researchers discover communication between growth, immunity pathways in plants" thedailytexan.com/2025/02/19/ut-…

Love the beautiful illustration🥰! Our work published <a href="/ScienceAdvances/">Science Advances</a> , featured by Daily Texan News! 私達の最新の研究成果がローカル大学新聞にて取り上げられました🤠🤘🌱🦠 "UT researchers discover communication between growth, immunity pathways in plants"
thedailytexan.com/2025/02/19/ut-…
Susruta Majumdar (@sushmajumdarlab) 's Twitter Profile Photo

A cannabinoid bitopic, biased and peripheral agonist analgesic with limited tolerance and tetrad in Nature. Work led by Vipin Rangari with Rob Gereau Dror Lab kaavya Krishna Kumar Center for Clinical Pharmacology WashU Medicine Anesthesiology A short thread nature.com/articles/s4158…

ChBE Illinois (@chbeillinois) 's Twitter Profile Photo

Congratulations to professors Guironnet, Rogers and Shukla who have been named James W. Westwater professorial scholars in recognition of their excellence in teaching and research! Learn more: chbe.illinois.edu/news/stories/G…

Congratulations to professors Guironnet, Rogers and Shukla who have been named James W. Westwater professorial scholars in recognition of their excellence in teaching and research!
Learn more: chbe.illinois.edu/news/stories/G…
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions 1. This study presents a framework to combine large language models (LLMs) to learn biophysical interactions, particularly focusing on binding affinity and specificity between

Two for the Price of One: Integrating Large Language Models to Learn Biophysical Interactions  

1. This study presents a framework to combine large language models (LLMs) to learn biophysical interactions, particularly focusing on binding affinity and specificity between
ChBE Illinois (@chbeillinois) 's Twitter Profile Photo

With a new five-year, $15M award, the U.S. National Science Foundation has renewed its support of the Molecule Maker Lab Institute Lab Institute, which develops AI tools for discovery and synthesis of molecules for uses in medicine, energy, industry and more. chbe.illinois.edu/news/stories/n…

Michael C. Jewett (@michaelcjewett) 's Twitter Profile Photo

How can we use biological datasets to accelerate design for synthetic biology applications? We developed an ML-driven, multi-objective framework—powered by augmented directional tokens—to engineer proteins for specificity and selectivity. w/Shukla Group biorxiv.org/content/10.110…

Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences 1. A novel study introduces ESMDynamic, a deep learning model that predicts dynamic residue-residue contact probability maps directly from protein sequences. This innovation leapfrogs

ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences

1. A novel study introduces ESMDynamic, a deep learning model that predicts dynamic residue-residue contact probability maps directly from protein sequences. This innovation leapfrogs
Diego Kleiman (@kleimandiego) 's Twitter Profile Photo

1/ 🔬 Thrilled to share our new preprint: ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences 📄 Now on bioRxiv: biorxiv.org/content/10.110…