@kannanlab

Evolutionary Systems Biology Group at UGA. We combine bioinformatics and biochemistry to uncover functional and evolutionary knowledge about enzymes!

 Athens, GA
esbg.bmb.uga.edu/
Joined June 2016
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Read our latest @eLife publication with @Pseudoenzyme Eyers lab! Mechanistic and evolutionary insights into isoform-specific ‘supercharging’ in DCLK family kinases by Venkat, Watterson, Byrne, et al! elifesciences.org/articles/8…

Mechanistic and evolutionary insights into isoform-specific ‘supercharging’ in DCLK family kinases

Isoform-specific variations in doublecortin-like kinases offer a new framework for understanding kinome-wide modulation of protein stability and catalytic activity.

elifesciences.org
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Read our latest @LivUniBCSB kinase study with @kannanlab Redox Regulation of Brain Selective Kinases BRSK1/2: Implications for Dynamic Control of the Eukaryotic AMPK family through Cys-based mechanisms biorxiv.org/content/10.1101/…

Redox Regulation of Brain Selective Kinases BRSK1/2: Implications for Dynamic Control of the...

In eukaryotes, protein kinase signaling is regulated by a diverse array of post- translational modifications (PTMs). While regulation by activation segment phosphorylation in Ser/Thr kinases is well...

biorxiv.org
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Rayna Carter and Kennady Boyd from the Kannan lab receive summer internships to work on the NIH common fund project on "Illuminating the Druggable Genomes", Congratulations!
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New publication on the prevalence of pneumococcal serine-rich repeat proteins, critical for the development of a protein vaccine. Led by Javid Aceil and Aarya Venkat in a joint collaboration with Fikri Avci at Emory! #Bioinformatics #epidemiology journals.asm.org/doi/10.1128…

Prevalence and Homology of the Pneumococcal Serine-Rich Repeat Protein at the Global Scale |...

An updated outlook on PsrP prevalence and serotype distribution sheds new light on the comprehensiveness of a PsrP-based protein vaccine. The protein is present in all vaccine serotypes and highly...

journals.asm.org
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New preprint out on DCLK family #kinases and their unique modes of autoregulation. Joint effort led by Aarya Venkat, Grace Watterson, and Dominic Byrne. Great collaboration with @Pseudoenzyme and @ClaireEEyers! biorxiv.org/content/10.1101/… #Bioinformatics #biochemistry #AlphaFold

Mechanistic and evolutionary insights into isoform-specific ‘supercharging’ in DCLK family kinases

Catalytic signaling outputs of protein kinases are dynamically regulated by an array of structural mechanisms, including allosteric interactions mediated by intrinsically disordered segments flanking...

biorxiv.org
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Leading the session at #ASBMB on Tuesday afternoon for computational biology! Will be giving a talk on protein function prediction and classification using deep learning models and knowledge graph mining. #bioinformatics #machinelearning
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Our graduate student Aarya Venkat (aaryakat.com) gave a spotlight talk at the ASBMB conference yesterday on the evolution of glycosyltransferases! #glycotime #evolution
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We have a new paper out, an explainable deep learning model for #kinase phosphosite prediction, enabling substrate predictions at the whole kinome level. #bioinformatics #MachineLearning #DeepLearning #Biochemistry Link to paper: academic.oup.com/bioinformat…

Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions

AbstractMotivation. The human genome encodes over 500 distinct protein kinases which regulate nearly all cellular processes by the specific phosphorylation

academic.oup.com
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Two new papers out in Briefings in Bioinformatics. The first on an alignment-free approach for estimating sequence conservation using sequence embeddings made from protein language models: academic.oup.com/bib/article… #Bioinformatics #MachineLearning #AI

Alignment-free estimation of sequence conservation for identifying functional sites using protein...

Abstract. Protein language modeling is a fast-emerging deep learning method in bioinformatics with diverse applications such as structure prediction and pr

academic.oup.com
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The second paper is on using these protein language models for embedding-based tree visualizations, orthogonal to (but consistent with) sequence-alignment based approaches. Useful for capturing relationships for difficult-to-align protein families: academic.oup.com/bib/article…

Tree visualizations of protein sequence embedding space enable improved functional clustering of...

Abstract. Protein language models, trained on millions of biologically observed sequences, generate feature-rich numerical representations of protein seque

academic.oup.com
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Proud of our undergraduate lab member, Grace Watterson, who presented an excellent talk on her work on DCLK kinases at the Harden conference in the UK. #kinase #bioinformatics
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Congratulations to our graduate student Aarya Venkat (@aaryakat) for winning a poster award for his research at the 2022 @SFGlycobiology conference!! #glycotime
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Thanks to everyone who made @BiochemSoc 88th #Harden meeting such a huge success. It was a pleasure to have so many team members and collaborators under one roof, including our newest collaborator from @kannanlab
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Congratulations to our grad student Maya Salcedo for recieving the @ARCSFoundation scholarship! @ARCS_Atlanta #biochemistry #WomenInScience
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Congratulations to George Bendzunas, a postdoc in our lab, for winning first place in the poster competition at the Winship Cancer Retreat. His poster was titled "Heterodimerization Provides a Pathway for Regulation of the BRSK Dark Kinases." #kinase #IDG #biochemistry #cancer
Congrats to Aarya Venkat @aaryakat in our lab for his recently accepted paper on the modular evolution of fold A glycosyltransferases (GT-As). Here's a neat conception of our model for GT-A evolution. #glycotime #Bioinformatics #biochemistry jbc.org/article/S0021-9258(2…
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Congratulations to our lab's own Dr. Wayland Yeung for successfully defending his dissertation, titled "Traditional and representation learning approaches for protein sequence analysis." #bioinformatics
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It was another great session, thanks @CyertMartha for coming, and for the exciting talks on pseudophosphatases from @Sharpe_Lab, glycogen synthase complex from @zeqiraj and the endless possibilities of glycosyltransferases from @kannanlab
Portland Press@PPPublishing5 Apr 2022
Looking forward to our Associate Editor Patrick Eyers’ talk this morning at @ASBMB #ExpBio on catalytic degradation in pseudoenzymes from the @Pseudoenzyme himself!
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Our new paper on mining the dark kinome with the software ProKinO is on #biorxiv. We've added a number of new tools into the ProKinO suite for mining data, including structural models generated via #AlphaFold2. #Bioinformatics #kinase #compchem #biochem biorxiv.org/content/10.1101/…

Dark kinase annotation, mining and visualization using the Protein Kinase Ontology

The Protein Kinase Ontology (ProKinO) is an integrated knowledge graph that conceptualizes the complex relationships connecting protein kinase sequence, structure, function, and disease in a human...

biorxiv.org
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