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Guilhem Faure

Guilhem Faure is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Guilhem Faure rather than just read about it. In short: Guilhem Faure is a computational biologist best known for leading the discovery of Tandem Interspaced Guide RNA (TIGR-Tas) systems, a novel class of RNA-guided DNA-targeting proteins found in prokaryotes and their viruses. He is also recognized for his work on Fanzor proteins, the first programmable RNA-guided endonuclease found in eukaryotes.

Key takeaways

  • Guilhem Faure belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Guilhem Faure to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Guilhem Faure from memory before moving on to harder problems.

Reference excerpt

Guilhem Faure is a computational biologist best known for leading the discovery of Tandem Interspaced Guide RNA (TIGR-Tas) systems, a novel class of RNA-guided DNA-targeting proteins found in prokaryotes and their viruses. He is also recognized for his work on Fanzor proteins, the first programmable RNA-guided endonuclease found in eukaryotes.

Education Ph.D. Computational Biology (2011), Pierre and Marie Curie University, Paris, France

Research career Faure is currently a Senior Group Lead at the Broad Institute of MIT and Harvard, working in the laboratory of Feng Zhang. He also holds a Staff Affiliate position at the McGovern Institute for Brain Research at MIT. According to his Google Scholar profile, Faure has an h-index of 30, demonstrating significant research impact in his field. Prior to his current position, Faure completed postdoctoral research at the National Center for Biotechnology Information (NCBI), National Library of Medicine, National Institutes of Health in Bethesda, Maryland, working in Eugene Koonin's lab.

Scientific contributions

TIGR-Tas Systems Faure led the discovery of TIGR-Tas systems, revealing a novel class of RNA-guided DNA-targeting proteins with significant implications for understanding molecular mechanisms in prokaryotes and their viruses. These systems are notably compact—averaging a quarter of the size of Cas9—and do not require PAM sequences for targeting, theoretically allowing any site in the genome to be targetable. The discovery process involved using artificial intelligence to analyze vast amounts of protein data. His team used protein large language models to cluster related proteins and identify the TIGR-Tas family. Faure has also contributed to research on other RNA-guided systems, including Fanzor proteins, the first programmable RNA-guided endonuclease found in eukaryotes.

SARS-CoV-2 contributions During the COVID-19 pandemic, Faure contributed to several studies on SARS-CoV-2. He was part of the team that developed the highly-cited SHERLOCK one-pot testing method for SARS-CoV-2 detection, published in The New England Journal of Medicine, which provided a rapid diagnostic tool. His work also included research on the genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses, published in PNAS. Furthermore, he co-authored a study in mBio investigating epistasis at the SARS-CoV-2 receptor-binding domain interface and its implications for vaccine escape.

CRISPR-Cas Systems and Mobile Genetic Elements Faure has made significant contributions to the understanding of CRISPR-Cas systems and their association with mobile genetic elements (MGEs). His review in Nature Reviews Microbiology provided a comprehensive overview of CRISPR-Cas in MGEs, discussing their roles in counter-defense and beyond.

mRNA and Protein Structure His foundational work includes studies on the interplay between mRNA structure and protein folding. A key publication in Nucleic Acids Research explored the role of mRNA structure in controlling protein folding, suggesting that stable mRNA secondary structures can act as modulators of co-translational folding. Further contributing to the understanding of protein interactions, he co-developed InterEvScore, a scoring function for protein complex interfaces that incorporates evolutionary information, published in the journal Bioinformatics.

Affiliations Broad Institute of MIT and Harvard (Senior Computational Scientist) National Institutes of Health (Former Postdoctoral Researcher)

Selected publications Faure, G., et al. (2025). "TIGR-Tas: A family of modular RNA-guided DNA-targeting systems in prokaryotes and their viruses." Science. 10.1126/science.adv9789 Faure, G., Shmakov, S.A., Yan, W.X. et al. (2019). "CRISPR–Cas in mobile genetic elements: counter-defence and beyond." Nat Rev Microbiol 17, 513–525. 10.1038/s41579-019-0204-7

References

External links Broad Institute Senior Scientific Staff MIT Brain and Cognitive Sciences Directory NIH NCBI Staff Profile Zhang Lab Website

Worked examples

Example 1 — a first encounter with Guilhem Faure

Start with the simplest possible case. Write down what Guilhem Faure claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Guilhem Faure before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Guilhem Faure ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Guilhem Faure

In research
Guilhem Faure appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Guilhem Faure in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Guilhem Faure is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational biologists, Living people, National Institutes of Health people, so understanding it makes those chapters shorter.
In everyday life
Look for Guilhem Faure outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Guilhem Faure in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Guilhem Faure means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Guilhem Faure out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Guilhem Faure in simple terms?

Guilhem Faure is a computational biologist best known for leading the discovery of Tandem Interspaced Guide RNA (TIGR-Tas) systems, a novel class of RNA-guided DNA-targeting proteins found in prokaryotes and their viruses. He is also recognized for his work on Fanzor proteins, the first programmabl…

Why does Guilhem Faure matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Guilhem Faure?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Guilhem Faure.

Tags

  • Computational biologists
  • Living people
  • National Institutes of Health people

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