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Rafael Najmanovich

@rnajmanovich.bsky.social
210 followers 343 following 30 posts

Structural bioinformatics, computational biophysics, drug design, protein dynamics at University of Montreal. In my free time I create bonsai trees and care for these and other fantastic beasts (reptiles, amphibians and tarantulas).

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Rafael Najmanovich @rnajmanovich.bsky.social · 24/03/2025
It was a great meeting. Thank you @gonzaparra.bsky.social for making sure every detail worked out - except for the rain... :)
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Reposted by Rafael Najmanovich
chelsea g. summers @chelseagsummers.bsky.social · 19/03/2025
So on March 9, a French scientist, on a visa to attend a conference in Houston, was denied entry to the US and subsequently expelled because his phone had messages decrying scientific policies put forward by the Trump administration: www.lemonde.fr/internationa...
lemonde.fr
Etats-Unis : un chercheur français refoulé pour avoir exprimé « une opinion personnelle sur la politique menée par l’administration Trump »
Le ministre de la recherche français a dit sa « préoccupation », mercredi, après cette décision des autorités américaines. Le chercheur du CNRS aurait subi un contrôle aléatoire à son arrivée, avant q...
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Rafael Najmanovich @rnajmanovich.bsky.social · 09/03/2025
NRGRank, with which you can screen 10^6 molecules per day in a modern laptop, is out. Particularly useful for apo form or AlphaFold models but in all cases (including hole), finding binders that are missed by Glide (the opposite is also true). NRGRank requires 0.3s/compound - 100-1000 fold faster.
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Rafael Najmanovich @rnajmanovich.bsky.social · 22/02/2025
Happy to share our latest preprint. With NRGRank you can screen 1M in a day in a laptop (use our NEGSuite-Qt for that) - a billion compounds per day with our computational resources.
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Rafael Najmanovich @rnajmanovich.bsky.social · 10/02/2025
"We demonstrate that current co-folding approaches largely memorise ligand poses from their training data, hindering their use for de novo drug design."
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Florian Jug @florianjug.bsky.social · 29/01/2025
🚨🚨 MEGA JOB ALERT 🚨🚨 Independent Group Leader Positions in Computational Biology @humantechnopole.bsky.social! Are you ready to start your own lab? Do you know someone who is? Repost this + share with everyone who might want to know about it. Thanks!!! 🙏 More details below... check it out! 🧵 1/3
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Doug Kojetin @dougkojetin.bsky.social · 24/01/2025
In The Pipeline blog featuring estrogen receptor papers with contributions from @nrimpact.bsky.social members @docfanning.bsky.social and @nelsonlab.bsky.social #nuclearreceptors
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Rafael Najmanovich @rnajmanovich.bsky.social · 24/01/2025
I am following up on the previous post with a little more detail. The NRGSute-Qt is a PyMOL plugin to use our major computational tools. Tools that offer high-performance, speed and ease of use. (1/N)
doi.org
NRGSuite-Qt: A PyMOL plugin for high-throughput virtual screening, molecular docking, normal-mode analysis, the study of molecular interactions and the detection of binding-site similarities
We introduce NRGSuite-Qt, a PyMOL plugin that provides a comprehensive toolkit for protein modeling, virtual screening, normal mode analysis, and binding-site similarity calculations. Building on the ...
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Rafael Najmanovich @rnajmanovich.bsky.social · 24/01/2025
Our newest preprint is out. A PyMOL plugin giving access to a broad suite of high-performance, fast, and easy to use methods for virtual screening (50K molecules/h), docking, analysis of molecular interactions, dynamics, engineering permitting complex workflows.
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Rafael Najmanovich @rnajmanovich.bsky.social · 19/12/2024
Anyone else experiencing problems with @biorxivpreprint.bsky.social ? Like preprints with mismatched abstracts? it is happening to my latest: www.biorxiv.org/content/10.1... - although when originally published it was all fine.
biorxiv.org
Comprehensive Analysis of SARS-CoV-2 Spike Evolution: Epitope Classification and Immune Escape Prediction
The evolution of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has produced unprece-dented numbers of structures of the Spike protein. This study presents a comprehensive analysis of 1,...
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eLife @elife.bsky.social · 10/12/2024
After listening to community feedback, we will provide a partial feed allowing 93% of eLife authors to continue being indexed in the Web of Science Core Collection. We will also move from the Scopus Journals Collection to the Scopus Preprints Collection. Full update below.
buff.ly
Changes to eLife’s indexing status in Web of Science and Scopus
To best serve the needs of researchers, eLife will provide a partial feed of research to be indexed in the Web of Science Core Collection. eLife will also move from the Scopus Journals Collection to…
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Rafael Najmanovich @rnajmanovich.bsky.social · 10/12/2024
and also our latest work, Natálias latest preprint, a collaboration with the groups of @mattbashton.bsky.social and Ricardo Rajsbaum is out in BioRxiv. www.biorxiv.org/content/10.1...
biorxiv.org
Comprehensive Analysis of SARS-CoV-2 Spike Evolution: Epitope Classification and Immune Escape Prediction
The evolution of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has produced unprecedented numbers of structures of the Spike protein. This study presents a comprehensive analysis of 1,560 published Spike protein structures, capturing most variants that emerged throughout the pandemic and covering diverse heteromerization and interacting complexes. We employ an interaction-energy informed geometric clustering to identify 14 epitopes characterized by their conformational specificity, shared interface with ACE2 binding, and glycosylation patterns. Our per-residue interaction evaluations accurately predict each residue's role in antibody recognition and as well as experimental measurements of immune escape, showing strong correlations with DMS data, thus making it possible to predict the behaviour of future variants. We integrate the structural analysis with a longitudinal analysis of nearly 3 million viral sequences. This broad-ranging structural and longitudinal analysis provides insight into the effect of specific mutations on the energetics of interactions and dynamics of the SARS-CoV-2 Spike protein during the course of the pandemic. Specifically, with the emergence of widespread immunity, we observe an enthalpic trade-off in which mutations in the receptor binding motif (RBM) that promote immune escape also weaken the interaction with ACE2. Additionally, we also observe a second mechanism, that we call entropic trade-off, in which mutations outside of the RBM contribute to decrease the occupancy of the open state of SARS-CoV-2 Spike, thus also contributing to immune escape at the expense of ACE2 binding but without changes on the ACE2 binding interface. This work not only highlights the role of mutations across SARS-CoV-2 Spike variants but also reveals the complex interplay of evolutionary forces shaping the evolution of the SARS-CoV-2 Spike protein over the course of the pandemic. ### Competing Interest Statement The authors have declared no competing interest.
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Rafael Najmanovich @rnajmanovich.bsky.social · 10/12/2024
Congratulations to Dr. Natalia Teruel, who successfully defended her PhD yesterday, her work was judged to be exceptional and worth to be added to the Faculté de médecine - Université de Montréal rector's honours list.
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Rafael Najmanovich @rnajmanovich.bsky.social · 22/11/2024
Fascinating theory of why we dream. time.com/5925206/why-...
time.com
Why Do We Dream? A New Theory on How It Protects Our Brains
"Dreams are primarily visual precisely because this is the only sense that is disadvantaged by darkness."
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Rafael Najmanovich @rnajmanovich.bsky.social · 21/11/2024
I am 100% in favour of the eLife publishing model.
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Gonzalo Parra @gonzaparra.bsky.social · 16/11/2024
Big announcement 📢🚨 The ISCB 3DSig together with the 3DBioinfo @ELIXIREurope community we are organising a joint conference in Barcelona March 19-21, 2025! If you work in Structural Bioinformatics or Computational Biophysics communities register ASAP! Only 120 spots! www.iscb.org/3dbioinfo202...
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Diego del Alamo @delalamo.xyz · 10/11/2024
From @gonzaparra.bsky.social on the other site: "deeper MSAs allow for better stability predictions as the coevolutionary signal associated with functional motifs gets buffered out & what's left are fold stability anchors" www.nature.com/articles/s41...
nature.com
Local energetic frustration conservation in protein families and superfamilies - Nature Communications
Energetic local frustration in proteins may have been positively selected by evolution when related to function such as ligand binding, allostery and other. Here the authors present a methodology to a...
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Matt Bashton @mattbashton.bsky.social · 14/11/2024
If you find this work interesting I'm currently looking for a new PhD student, see the Add here www.findaphd.com/phds/project...
findaphd.com
Trashzymes: Mining Municipal solid waste and alkaliphilic species for brilliant cleaning at Procter & Gamble on FindAPhD.com
PhD Project - Trashzymes: Mining Municipal solid waste and alkaliphilic species for brilliant cleaning at Procter & Gamble, listed on FindAPhD.com
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Matt Bashton @mattbashton.bsky.social · 14/11/2024
Interestingly if we look at promiscuous superfamilies' (those binding multiple ligands) we find they can fall into "generalised" - binding a wide range of chemically diverse ligands or "specialised" - binding some very chemically similar ligands, categories.
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Matt Bashton @mattbashton.bsky.social · 14/11/2024
Our latest work has been published in #Bioinformatics Advances ProCogGraph, the spiritual successor of PROCOGNATE. This graph database provides a linkage between proteins domains (SCOP/CATH/Pfam) and cognate ligands for #enzymes in the #PDB. academic.oup.com/bioinformati...
academic.oup.com
ProCogGraph: a graph-based mapping of cognate ligand domain interactions
AbstractMotivation. Mappings of domain-cognate ligand interactions can enhance our understanding of the core concepts of evolution and be used to aid docki
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Eric Topol @erictopol.bsky.social · 14/11/2024
Editorial at The Lancet today on this matter www.thelancet.com/journals/lan...
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Rafael Najmanovich @rnajmanovich.bsky.social · 15/11/2024
Is there a way to search bluesky profile descriptions? That would help to populate my network of who to follow. Alternatively, please suggest who should I follow (including yourself) if you think it fits my research interests (structural/computational biology, design (drugs, proteins), dynamics) etc
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Rafael Najmanovich @rnajmanovich.bsky.social · 14/11/2024
Happy to share our most recent publication. We use docking and the calculation of NMA-based dynamical signatures to predict the efficiency of mu-Opioid receptor ligands as agonists or antagonists - an example of 3D-QDAR, quantitative dynamics activity relationships. pubs.acs.org/doi/10.1021/...
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