Gromiha Lab @PBI_Lab
Protein Bioinformatics Lab, IIT Madras; Bioinformatics, drug design, affinity prediction, NGS, RNA Biology iitm.ac.in/bioinfo/Gromih… Chennai, India Joined August 2022-
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We congratulate Sowmya Krishnan for recognition of her article "Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning" among the most cited recent articles in Briefings in Bioinformatics (2024 Impact Factor 7.7).
Excited to learn about #AI, but you don't have coding background? Attend our workshop "WEKA: Exploring Machine Learning for Healthcare" Hurry Up!! elearn.nptel.ac.in/shop/iit-works… #iitmadras @nptel_official #MachineLearning #AIforhealthcare
Dr. Siva Shanmugam NR from the University of Nebraska-Lincoln (Protein Bioinformatics Lab alums) visited our lab and delivered a talk on applying LLMs to understand CAZymes.
We congratulate @Fathima_Ridha_ for receiving the Institute Research Award 2025.
We congratulate @Fathima_Ridha_ on receiving the Best Flash Talk Award and Poster Prize Award at the Horizons in Structural and Computational Biology (HSCB 2025) conference, held at IIT Hyderabad.
Excited to learn about #AI, but you don't have coding background? Attend our workshop "WEKA: Exploring Machine Learning for Healthcare" elearn.nptel.ac.in/shop/iit-works… @nptel_official #IITMadras #AIforhealthcare
Excited to learn about #AI, but you don't have coding background? Attend our workshop "WEKA: Exploring Machine Learning for Healthcare" Hurry Up!! elearn.nptel.ac.in/shop/iit-works… #iitmadras @nptel_official #MachineLearning #AIforhealthcare
Immense pleasure to share that I have been honoured as a ScholarGPS Highly Ranked Scholar (#8) in Bioinformatics. @iitmadras @iitmbt @PBI_Lab.
Wanted to learn machine learning, but you don't have coding background? Attend our workshop "WEKA: Exploring Machine Learning for Healthcare" Date: 06 & 07 April 2024 Hurry Up!! #iitmadras @nptel_official #MachineLearning #AIforhealthcare
Join with us in congratulating @Rnikam1907 for successfully defending his thesis. Congratulations Dr. Rahul Nikam @PBI_Lab.
Happy to share a glimpse of our @PBI_Lab symposium on Bio-molecular Interactions: Applications to diseases (Day 1). We thank Prof. D Velmurugan for joining us.
🎉 Congratulations @Fathima_Ridha_ for winning the Good Oral Presentation Award at TAC-MI International Forum 2023, @tokyotech_en , Japan. She presented her research on "Understanding the binding affinity of membrane protein-protein complexes: A computational approach" 🌟
Our PhD scholar @Fathima_Ridha_ presented in the @iscbsc 2nd Asian Student Council Symposium 👏👏 #iitmadras #ASC2023
Our PhD scholar @Fathima_Ridha_ presented in the @iscbsc 2nd Asian Student Council Symposium 👏👏 #iitmadras #ASC2023
Interested in joining our Team? We are hiring for the temporary post of Junior Research Fellow/Project Associate. Interested applicants are encouraged to send their CV, research interests and a letter of recommendation to [email protected] [email protected]
Our PhD scholar @Divya_sharma_ds presented a poster tiltled "Computational approaches for understanding the binding affinity of SARS-CoV2 spike protein-neutralizing antibody complexes and their mutants" at the #GIWISCB Asia 2023 held at Novena, Singapore
@pragathisneha presented a poster on "Understanding Huntington's disease transcriptome landscape using multi-omics approach" at the 22nd International Conference on Bioinformatics (InCoB) held at Brisbane, Australia. Congratulations on winning the Travel Award.
Congratulations Harini for winning the best oral presentation award at #InBix2023 @bioclues for her work on "Computational resources for understanding and predicting the binding affinity of protein-nucleic acid complexes" #iitmadras
Check out our work on a novel ML based method for binding affinity prediction of membrane protein protein complexes by @Fathima_Ridha_ 🔗: pubmed.ncbi.nlm.nih.gov/37949651/ #MachineLearning #membraneproteins #iitmadras
Our latest paper on "Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation" using machine learning. A collaborative work with @puneet021192 @victorgreiff authors.elsevier.com/c/1i5lG3IQ~qIa… @PBI_Lab @BBAjournals #iitmadras #MachineLearning
Congratulations Dr. Medha Pandey !! All the best for your research venture.
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