Lisa Boatner

Excited and honored to be the 2023 Rising Star in Computational MS! A massive thank you to Females in MS, CZI, UToronto, and OpenMS for the support. I am deeply grateful for the encouragement from @Keribackus and @houk1000. Here’s to pushing back the frontiers of mass spec 🌟

This Python library is so powerful 🔥 A few lines of code & you can extract Tables from PDF & load it as a Pandas df! 🐼 Check this out 👇

🎉 👩🏻‍🎓 🎉

❤ Very happy that this article I wrote on Medium has reached 13.5 K views. 👉I share the link @vespinozag/16-network-visualization-tools-that-you-should-know-2c26957b707e" target="_blank" rel="nofollow noopener">medium.com/@vespinozag/16… #AcademicChatter #postdoc #Bioinformatics #neuroscience #DataSicence #statistics #python #rstats #machinelearning #python #R #DataVisualization #NodeXL #phdchat

I will offer an online course in August 2024, applied machine learning in chemistry. If you are interested, please see more information and fill the form here: anunesalves.owlstown.net/courses/2887-a…

Thrilled to share our groups' new SEE-CITE photoaffinity labeling methodology where we installed a silyl cleavable linker between the diazirine and MOI to enable head-to-head interactomics. Spearheaded by Sho Takechi and Chau Ngo and now up on @ChemRxiv chemrxiv.org/engage/chemrxi…

I've started a GitHub repository to collect the best training datasets, evaluation datasets, benchmarks and more for language models in materials science and chemistry. If you know of other resources, please reply here or open an issue on the GitHub with the information! See the information here: github.com/materials-data…

Now everyone customize/share protein language models for their custom task/dataset via @GoogleColab 🤓 Paper: biorxiv.org/content/10.110… Colab: colab.research.google.com/drive/1nxYBed3… Credit: @LTEnjoy, Zhikai Li, @ChenchenHa42849, @BonnieSwt, Junjie Shan, @XibinBayesZhou, Dacheng Ma, @duguyuan

We are launching a platform to connect researchers who are open to collaborate with others... (1/3)

I worked on a small project this weekend that bridges learning with usefulness. As mentioned in my earlier tweet, bioRxiv hosts over 311,000 manuscripts. A rapid method for identifying relevant papers would be handy.

Unleash the potential of #PyMOL, an open-source molecular visualization system. Analyze and visualize molecular structures like never before! github.com/schrodinger/py… #Molecular #Viz #3D #CompChem

PocketFlow, a structure-based model for generating novel ligands given a protein binding pocket Paper nature.com/articles/s4225… 1/2

Excited to share a couple of early drafts for a set of collectible cards showcasing cool macromolecules and their folds! These are sketched with my polargraph (see down the thread for what that is) and traced/painted by hand. Idea is to have different sets with foils +

Do you need an intro to analyzing (prote)omics data? This series of lectures may be helpful. We aimed to make them short & accessible. Enjoy watching & learning! youtube.com/playlist?list=…

ATTN: The application window for students to apply for a paid summer research opportunity is closing soon. Programs advertised by PathwaysToScience.org range across all STEM disciplines. Use their search page to filter programs using multiple criteria. pathwaystoscience.org/programs.aspx?…

We quantified 1.498 million thermal stability measurements in cells and crude extracts treated with small molecule therapeutics and tool compounds! We interrogated on- and off-target effects to dissect direct ligand binding and indirect effects.biorxiv.org/content/10.110…

Introducing the FAIR Principles for research software nature.com/articles/s4159…

Timothy Griffin and @pratikomics at the launch of the #ProteoGenomics Shared Resource at the @UMNCancer youtu.be/CCogslUsXt8 cancer.umn.edu/proteogenomics… #Metaproteomics #CancerResearch

Covalent Hits and Where to Find Them - from ⁦@AstraZeneca⁩ sciencedirect.com/science/articl…

ProSTAGE: Predicting Effects of Mutations on Protein Stability by Using Protein Embeddings and Graph Convolutional Networks pubs.acs.org/doi/10.1021/ac… #JCIM Vol64 Issue2 #MachineLearning #DeepLearning