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LBCP - UFMG

@lbcpufmg.bsky.social

Protein Computational Biology Lab @ UFMG We use and develop computational and biophysical methods to study protein structure, function and evolution. P.I.: Lucas Bleicher

31 Followers  |  92 Following  |  14 Posts  |  Joined: 20.08.2025
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Posts by LBCP - UFMG (@lbcpufmg.bsky.social)

Pois é, a impressão que sempre me deu é que, se houvesse a oportunidade, fariam PPP.

26.02.2026 12:32 — 👍 0    🔁 0    💬 0    📌 0

Mas na área de desenvolvimento de fármacos isso é raríssimo, não? Eu convivo com o pessoal dessa área desde os anos 2000 e quase sempre vejo o contrário.

26.02.2026 12:27 — 👍 0    🔁 0    💬 1    📌 0

grupo onde eu tava em que perguntaram como fazer para colaborar com eles e ele basicamente respondeu que seria quando tivesse quase um produto pronto. Aí fica difícil mesmo passar da pesquisa básica pro fármaco. Ao contrário do que diz o lugar comum, o setor privado não gosta de correr risco.

26.02.2026 12:17 — 👍 0    🔁 0    💬 1    📌 0

Aí eu vou discordar um pouco, essa "resistência" dentro da academia está longe de ser o maior motivo disso não acontecer, muito maior é a resistência do próprio setor privado, que não tem interesse em desenvolvimento. Lembro duma palestra de um representante de uma farmacêutica há uns 20 anos no (+)

26.02.2026 12:17 — 👍 1    🔁 0    💬 1    📌 0
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Mosquitoes like Aedes aegypti spread viruses that cause major global diseases. We decided to have a closer look at a family of mosquito carbohydrate-binding proteins involved in infecting these vector species. We found some unexpected things 😁

Preprint out now 🦟🦟🦟

www.biorxiv.org/content/10.6...

13.02.2026 09:04 — 👍 33    🔁 17    💬 1    📌 1
UFC: Biografia de uma universidade Editora UFC

Lendo esse livro aqui sobre a alma mater e estou achando excelente!

editora.ufc.br/pt/catalogo/...

13.02.2026 17:33 — 👍 0    🔁 0    💬 0    📌 0

The media should be PRAISING these athletes who know and understand the importance of public health. These articles should be about how they are setting an example for EVERYONE. And how we should all take their lead.

Instead their positioning is: “look at these fucking weirdos”

10.02.2026 03:36 — 👍 567    🔁 129    💬 11    📌 2

Check out our new review in Nature Reviews Genetics on de novo emerged genes and proteins. How they emerge, are lost and persist - and how de novo emerged proteins relate to randomized proteins! @bornberglab.bsky.social www.nature.com/articles/s41...

28.01.2026 18:23 — 👍 58    🔁 28    💬 3    📌 2

Our lab will be boycotting biotech vendors that have contracts with ICE (e.g., Fisher, Agilent), and telling them why. If you google “vendorname usa spending”, you can see purchases for specific depts including ICE on usaspending.gov. Please talk to your labs and email your vendors!

30.01.2026 16:06 — 👍 54    🔁 32    💬 1    📌 1

Já recebi *várias vezes* convites para publicar numa chamada "Journal of Rice Science" e em outra de ginecologia e obstetrícia. Minha área não tem absolutamente nada a ver com nenhuma das duas, aliás.

Aí pensei que poderia escrever sobre vontade de comer arroz na gravidez e mandar logo pras duas.

30.01.2026 18:57 — 👍 0    🔁 0    💬 0    📌 0
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The NIH has lost its scientific integrity. So we left “We can no longer lend our credibility to an organization that has lost its integrity,” write four scientists and administrators who recently resigned from the NIH.

This is so incredibly heart-breaking. To Jay Bhattacharya and Matthew Memoli at NIH--you have betrayed the entire scientific community. Deeply committed staff are leaving in droves--because you are destroying the institution. Shame on you. www.statnews.com/2026/01/10/n...

10.01.2026 14:28 — 👍 1011    🔁 377    💬 20    📌 17
Examples of crystals

Examples of crystals

Interested in crystallizing your favorite biomolecule for structural studies?
Join the #IUCr2026 Biomolecular Crystallization Workshop for
- Sample prep/characterization
- Optimization and seeding
- Ways to ‘see’ your crystals
- Ultrasmall to large crystals
- AI/ML advances
event.fourwaves.com/...

08.01.2026 16:05 — 👍 6    🔁 4    💬 0    📌 0
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Mammals have evolved into ant eaters 12 times since the dinosaur age, study finds Mammals have developed some unusual eating habits over the past 100 million years, but a new study has uncovered the surprising lengths to which some have gone to satisfy one of the more peculiar—a ta...

Tired: Everything evolves to be a crab.

Wired: Everything evolves to eat ants.

07.01.2026 01:13 — 👍 552    🔁 136    💬 23    📌 29
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Journal of Molecular Evolution Publish your work in a journal known for classic papers from Ohta, Felsenstein, and Zuckerkandl! Journal of Molecular Evolution focuses on deciphering ...

Mais uma edição da Journal of Molecular Evolution que eu queria ter em versão impressa pra ler com calma. Esse número é uma edição especial sobre ortólogos.

link.springer.com/journal/239/...

03.01.2026 17:18 — 👍 1    🔁 1    💬 0    📌 0
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Amplificando DNAs e bobagens Saber muito sobre algo não significa saber algo sobre tudo

Newsletter nova falando sobre alternativas ao Papanicolau e bobagens de quem ganhou o Nobel.

literaturaqueijof1.substack.com/p/amplifican...

28.12.2025 13:42 — 👍 0    🔁 1    💬 0    📌 1

Esse congresso já foi um sucesso estrondoso na primeira edição (em que foi necessário antecipar o encerramento das inscrições ou o local não ia comportar o evento - foram mais de 700 inscritos!), e o próximo, aqui em Belo Horizonte, tem tudo pra ser excelente também!

25.12.2025 20:11 — 👍 0    🔁 1    💬 0    📌 0
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Great news!
JSTOR now have a free account with an Independent Researcher category. You can access 100 documents per month

www.jstor.org/action/showL...

29.09.2025 15:27 — 👍 2576    🔁 1613    💬 39    📌 172
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The simple machine that visualised atomic orbitals In 1931, Harvey Elliott White developed a device that traced out the shapes of electron clouds by approximating solutions to the Schrödinger equation

In the early days of quantum chemistry, before we had computers to calculate the shapes of electron orbitals, one man invented a mechanical machine that simulated their shapes. My latest column for @chemistryworld.com
www.chemistryworld.com/opinion/the-...

18.09.2025 09:37 — 👍 146    🔁 58    💬 6    📌 6

I really hate it when scientists keep saying that “we need to rebuild trust in science,” because it implies that scientists are to blame for the mistrust rather than the millions of dollars of dark money that have funded political attacks on science in order to advance a far right agenda.

19.11.2025 21:48 — 👍 14140    🔁 3649    💬 232    📌 160
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PDB101: Searching the PDB for High-Quality Ligand-Bound Structures PDB-101: Training, Outreach, and Education portal of RCSB PDB

Watch the Webinar: Searching the PDB for high-quality ligand-bound structures
Learn how to search the PDB for the best examples of ligands using text, chemical drawing, and APIs

11.11.2025 17:55 — 👍 5    🔁 1    💬 0    📌 0
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Evolution meets biophysics in the early history of transthyretins Transthyretin, the primary thyroxine carrier in the cerebrospinal fluid, has been known since the forties, but the discovery of homologs in C. elegans and several microorganisms in 2000 revealed an in...

After our study on transthyretin and HIUase ancestral reconstruction, I wrote this personal account on how TTRs were present in key moments in my career and on tackling this interesting case of neofunctionalization using crystallography and calorimetry

communities.springernature.com/posts/evolut...

11.11.2025 16:59 — 👍 0    🔁 0    💬 0    📌 0

imigração é um direito. fronteiras são inventadas. bichos migram, os seres humanos sempre mudaram de lugar.

05.11.2025 07:20 — 👍 206    🔁 60    💬 0    📌 0
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The title of my keynote will be "The critical use of Degenerative AI in Doctoral education" 🔥 | Dagmar Monett The title of my keynote will be "The critical use of Degenerative AI in Doctoral education" 🔥

(The title of my keynote will be "The critical use of Degenerative AI in Doctoral education" 🔥)

www.linkedin.com/posts/monett...

21.10.2025 23:20 — 👍 5    🔁 2    💬 1    📌 0

Very interesting recollection from interviews and the literature on alchemical free-energy methods.

======
"THE DAWN OF ALCHEMICAL FREE-ENERGY METHODS IN BIOMOLECULAR SIMULATIONS" (Daniele Macuglia, Giovanni Ciccotti, Benoît Roux)
arxiv.org/pdf/2510.04917

09.10.2025 13:38 — 👍 0    🔁 0    💬 0    📌 0

Journal of Molecular Evolution tem artigos tão maravilhosos que fico triste que não exista mais versão impressa, queria tirar um dia por mês pra ir numa biblioteca e ler a última edição.

23.09.2025 14:35 — 👍 0    🔁 0    💬 0    📌 0
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PDB101: Learn: Other Resources: Bound! Protein-drug matching game Bound! is a card game for students 12 and up, where players compete to match the most drugs to their protein targets.

Players match protein targets with drugs in this game developed by RCSB PDB and @ccdc.cam.ac.uk

11.09.2025 23:26 — 👍 9    🔁 4    💬 0    📌 1
Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues.

Abstract: Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously toa) counter the technology industry’s marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues.

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI (black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf. Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al. 2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Protecting the Ecosystem of Human Knowledge: Five Principles

Protecting the Ecosystem of Human Knowledge: Five Principles

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n

06.09.2025 08:13 — 👍 3787    🔁 1896    💬 110    📌 390
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Science is real

31.08.2025 15:12 — 👍 16459    🔁 3710    💬 231    📌 116
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PDB101: Learn: Paper Models: Dengue Virus Atomic structures of dengue virus are giving new hope for creation of a vaccine

Cases of Dengue have been rising in California, Florida, and Texas
Learn more about the virus (and build paper models) at PDB-101

26.08.2025 17:11 — 👍 3    🔁 1    💬 0    📌 1
Protein Computational Biology Group at UFMG, 2025

Protein Computational Biology Group at UFMG, 2025

We are a research group in Belo Horizonte, Brazil, studying protein structure, function and evolution using computational and biophysical methods.

P.I.: Lucas Bleicher, Biochemistry and Immunology Department, Biological Sciences Institute, UFMG.

22.08.2025 16:59 — 👍 0    🔁 0    💬 0    📌 0