Juan José Pierella (@jjpierellak) 's Twitter Profile
Juan José Pierella

@jjpierellak

Environmental microbiologist/bioinformatician in Ovchinnikov’s lab at @Harvard @MIT

ID: 830396841460166660

calendar_today11-02-2017 12:43:29

428 Tweet

559 Followers

979 Following

Ribbe Hu Labs (@huribbe) 's Twitter Profile Photo

Our years of work on nitrogenase assembly paid off! So proud of this paper, which demonstrates the heterologous expression of an active nitrogenase. Thanks to everybody involved for a great team effort! Nature Catalysis, Ribbe Hu Labs, UCI Charlie Dunlop School of Biological Sciences, UCI Chemistry doi.org/10.1038/s41929…

Andrew Savinov (@biosavinov) 's Twitter Profile Photo

Excited to share our updated manuscript on FragFold, the massively parallel AlphaFold-based approach we’ve developed to discover protein fragment inhibitors at scale -- w/ Sebastian, Keating Lab, and Gene-Wei Li Lab. biorxiv.org/content/10.110… (1/n)

Pawel Labaj (@pawel_labaj) 's Twitter Profile Photo

In the vast expanse of the universe, where lethal star radiation and near-total darkness prevail, the existence of life seems improbable. In doi.org/10.1186/s40168… we investigate how #microorganisms on #ISS adapt to extreme conditions Tomasz Kosciolek NASA JPL Malopolska Centre of Biotechnology UJ Sano Centre for Computational Medicine

In the vast expanse of the universe, where lethal star radiation and near-total darkness prevail, the existence of life seems improbable. In doi.org/10.1186/s40168… we investigate how #microorganisms on #ISS adapt to extreme conditions <a href="/Tomasz_Lab/">Tomasz Kosciolek</a> <a href="/NASAJPL/">NASA JPL</a> <a href="/MCB_UJ/">Malopolska Centre of Biotechnology UJ</a> <a href="/SanoScience/">Sano Centre for Computational Medicine</a>
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

Protein language models learn evolutionary statistics of interacting sequence motifs PNASNews 1. This study dissects how protein language models (pLMs), specifically ESM-2, predict structures and interactions, revealing that these models store coevolutionary information

Protein language models learn evolutionary statistics of interacting sequence motifs <a href="/PNASNews/">PNASNews</a> 

1. This study dissects how protein language models (pLMs), specifically ESM-2, predict structures and interactions, revealing that these models store coevolutionary information
Yunha Hwang (@micro_yunha) 's Twitter Profile Photo

Search your favorite protein sequences with Gaia🌎! We are excited to release a context-aware protein search tool, extending search and discovery capabilities beyond sequence and structure, to include *genomic context* gaia.tatta.bio 1/🧵

BioDesign Research (@biodesignr) 's Twitter Profile Photo

Recent work focuses on nitrogenase engineering for crop growth, reducing fertilizer use. #SustainableAgriculture Details:spj.science.org/doi/10.34133/b…

Recent work focuses on nitrogenase engineering for crop growth, reducing fertilizer use. #SustainableAgriculture
Details:spj.science.org/doi/10.34133/b…
fajie yuan (@duguyuan) 's Twitter Profile Photo

We release our protein chatGPT, Evola! 🌟 chat-protein.com Evola comes in two versions: 10B & 80B. The 80B model has a 1.3B Saprot encoder & a 70B LLaMA3 decoder. Trained on 546 protein question-text pairs with an 150 billion word tokens! 💡🔬 biorxiv.org/content/10.110…

We release our protein chatGPT, Evola! 🌟 chat-protein.com

Evola comes in two versions: 10B &amp; 80B. The 80B model has a 1.3B Saprot encoder &amp; a 70B LLaMA3 decoder.

Trained on 546 protein question-text pairs with an 150 billion word tokens! 💡🔬

biorxiv.org/content/10.110…
Yunha Hwang (@micro_yunha) 's Twitter Profile Photo

This is such an interesting study and important overview of the metagenomic sequence diversity! There is a huge discrepancy in the distribution of diversity between cultivated microbes and metagenomes. i.e. Over 95% of the isolated species can't be recovered from metagenomes.😮

Yehlin Cho (@choyehlin) 's Twitter Profile Photo

Excited to share our preprint “BoltzDesign1: Inverting All-Atom Structure Prediction Model for Generalized Biomolecular Binder Design” — a collaboration with Martin Pacesa, Zhidian Zhang , Bruno E. Correia, and Sergey Ovchinnikov. 🧬 Code will be released in a couple weeks

Martin Lercher (@martinjlercher) 's Twitter Profile Photo

🚨 Just out in Science: 2/3 of bacterial gene families have a preferred position on the chromosome—and natural selection put them there! science.org/doi/10.1126/sc… Heinrich-Heine-Universität Düsseldorf CEPLAS

🚨 Just out in Science: 2/3 of bacterial gene families have a preferred position on the chromosome—and natural selection put them there!
science.org/doi/10.1126/sc…
<a href="/HHU_de/">Heinrich-Heine-Universität Düsseldorf</a> <a href="/ceplas_1/">CEPLAS</a>
Georg Hochberg (@kahochberg) 's Twitter Profile Photo

This is a wild paper. The anaerobic biochemistry is definitely worth your while (and beyond me to explain), but let me try to explain why this is also an evolutionary bombshell. This is about how nitrogen fixation evolved as we know it.

Tominaga K. (tomiken) (@pacyc1841) 's Twitter Profile Photo

Hijacking and integration of algal plastids and mitochondria in a polar planktonic host: Current Biology cell.com/current-biolog…

Luke Thompson⏳ (@lukethompson) 's Twitter Profile Photo

My group at NOAA/Miami is hiring a postdoc to lead a marine eDNA biodiversity effort (Bio-GO-SHIP). You'll develop and deploy high-throughput metabarcoding assays for ocean DNA. Help make foundational contributions to global marine biodiversity monitoring! explore.msujobs.msstate.edu/cw/en-us/job/5…