After analyzing 72 structures of NcAA9D, it was found that X-rays progressively reduce the active-site copper from Cu(II) to Cu(I), forming an electron-density feature that is easy to misinterpret #RadiationDamage #LPMOs #DioxygenBinding doi.org/10.1107/S205...
September 28, 2026 at 3:24 PM
After analyzing 72 structures of NcAA9D, it was found that X-rays progressively reduce the active-site copper from Cu(II) to Cu(I), forming an electron-density feature that is easy to misinterpret #RadiationDamage #LPMOs #DioxygenBinding doi.org/10.1107/S205...
Conserved copper(I)-binding auxiliary domains link virulence-associated LPMOs to copper homeostasis in the intestinal environment https://www.biorxiv.org/content/10.64898/2026.08.05.742968v1
August 6, 2026 at 1:47 PM
Conserved copper(I)-binding auxiliary domains link virulence-associated LPMOs to copper homeostasis in the intestinal environment https://www.biorxiv.org/content/10.64898/2026.08.05.742968v1
Conserved copper(I)-binding auxiliary domains link virulence-associated LPMOs to copper homeostasis in the intestinal environment https://www.biorxiv.org/content/10.64898/2026.08.05.742968v1
August 6, 2026 at 1:47 PM
Conserved copper(I)-binding auxiliary domains link virulence-associated LPMOs to copper homeostasis in the intestinal environment https://www.biorxiv.org/content/10.64898/2026.08.05.742968v1
[Amazon] Sonic X Shadow Generations (Nintendo Switch 2)
👉 jogobara.to/LpmOs
• R$ 185,90 no pix ou NuPay
• R$ 199,90 em até 6x
• Frete Grátis
👉 jogobara.to/LpmOs
• R$ 185,90 no pix ou NuPay
• R$ 199,90 em até 6x
• Frete Grátis
July 8, 2026 at 11:53 PM
[Amazon] Sonic X Shadow Generations (Nintendo Switch 2)
👉 jogobara.to/LpmOs
• R$ 185,90 no pix ou NuPay
• R$ 199,90 em até 6x
• Frete Grátis
👉 jogobara.to/LpmOs
• R$ 185,90 no pix ou NuPay
• R$ 199,90 em até 6x
• Frete Grátis
Bacillus subtilis T7 encodes [FeFe]-hydrogenase and lignin-targeting LPMOs for consolidated bioprocessing
-in Applied Microbiology and Biotechnology
link.springer.com/article/10.1...
-in Applied Microbiology and Biotechnology
link.springer.com/article/10.1...
Client Challenge
link.springer.com
January 14, 2026 at 1:12 PM
Bacillus subtilis T7 encodes [FeFe]-hydrogenase and lignin-targeting LPMOs for consolidated bioprocessing
-in Applied Microbiology and Biotechnology
link.springer.com/article/10.1...
-in Applied Microbiology and Biotechnology
link.springer.com/article/10.1...
Structural & electronic modulations of copper enzyme lytic polysaccharide monooxygenase upon chitin binding (via @chemicalscience.rsc.org)
doi.org/10.1039/D5SC...
doi.org/10.1039/D5SC...
Structural and electronic modulations of lytic polysaccharide monooxygenase (LPMO) upon chitin binding: insights from X-ray spectroscopy
Lytic polysaccharide monooxygenases (LPMOs) play a critical role in the depolymerization of recalcitrant polysaccharides, such as chitin, making them of interest in biotechnological applications. Thes...
doi.org
December 30, 2025 at 8:58 AM
Structural & electronic modulations of copper enzyme lytic polysaccharide monooxygenase upon chitin binding (via @chemicalscience.rsc.org)
doi.org/10.1039/D5SC...
doi.org/10.1039/D5SC...
Really happy to share our recent publication on LPMO metalloenzymes, with new mechanistic insights into these fascinating copper enzymes. And the paper was selected for the back cover.
@chemicalscience.rsc.org
Grateful for the collaboration and excited for what’s next!
pubs.rsc.org/en/content/a...
@chemicalscience.rsc.org
Grateful for the collaboration and excited for what’s next!
pubs.rsc.org/en/content/a...
Structural and electronic modulations of lytic polysaccharide monooxygenase (LPMO) upon chitin binding: insights from X-ray spectroscopy
Lytic polysaccharide monooxygenases (LPMOs) play a critical role in the depolymerization of recalcitrant polysaccharides, such as chitin, making them of interest in biotechnological applications. Thes...
pubs.rsc.org
December 23, 2025 at 1:42 PM
Really happy to share our recent publication on LPMO metalloenzymes, with new mechanistic insights into these fascinating copper enzymes. And the paper was selected for the back cover.
@chemicalscience.rsc.org
Grateful for the collaboration and excited for what’s next!
pubs.rsc.org/en/content/a...
@chemicalscience.rsc.org
Grateful for the collaboration and excited for what’s next!
pubs.rsc.org/en/content/a...
New insights into pectin-degrading enzymes in plant-pathogen battles 👇
This recent study examines how a unique enzyme family, AA17 lytic polysaccharide monooxygenases (LPMOs), targets one of the plant cell wall’s key components: homogalacturonan (HG), the main form of pectin.
This recent study examines how a unique enzyme family, AA17 lytic polysaccharide monooxygenases (LPMOs), targets one of the plant cell wall’s key components: homogalacturonan (HG), the main form of pectin.
August 12, 2025 at 8:02 AM
New insights into pectin-degrading enzymes in plant-pathogen battles 👇
This recent study examines how a unique enzyme family, AA17 lytic polysaccharide monooxygenases (LPMOs), targets one of the plant cell wall’s key components: homogalacturonan (HG), the main form of pectin.
This recent study examines how a unique enzyme family, AA17 lytic polysaccharide monooxygenases (LPMOs), targets one of the plant cell wall’s key components: homogalacturonan (HG), the main form of pectin.
Functional characterization of multi-domain LPMOs from marine Vibrio species reveals modulation of enzyme activity by domain-domain interactions
Eijsink, V. G. H., Forsberg, Z. et al.
Paper
Details
#LPMOs #MarineMicrobiology #EnzymeKinetics
Eijsink, V. G. H., Forsberg, Z. et al.
Paper
Details
#LPMOs #MarineMicrobiology #EnzymeKinetics
July 6, 2025 at 9:01 AM
Functional characterization of multi-domain LPMOs from marine Vibrio species reveals modulation of enzyme activity by domain-domain interactions
Eijsink, V. G. H., Forsberg, Z. et al.
Paper
Details
#LPMOs #MarineMicrobiology #EnzymeKinetics
Eijsink, V. G. H., Forsberg, Z. et al.
Paper
Details
#LPMOs #MarineMicrobiology #EnzymeKinetics
Functional characterization of multi-domain LPMOs from marine Vibrio species reveals modulation of enzyme activity by domain-domain interactions https://www.biorxiv.org/content/10.1101/2025.07.04.663128v1
July 6, 2025 at 5:46 AM
Functional characterization of multi-domain LPMOs from marine Vibrio species reveals modulation of enzyme activity by domain-domain interactions https://www.biorxiv.org/content/10.1101/2025.07.04.663128v1
Functional characterization of multi-domain LPMOs from marine Vibrio species reveals modulation of enzyme activity by domain-domain interactions https://www.biorxiv.org/content/10.1101/2025.07.04.663128v1
July 6, 2025 at 5:46 AM
Functional characterization of multi-domain LPMOs from marine Vibrio species reveals modulation of enzyme activity by domain-domain interactions https://www.biorxiv.org/content/10.1101/2025.07.04.663128v1
What does this mean for biologists?
— You can functionally annotate LPMOs even with novel or borderline sequences
— You can use structure to discover or repurpose enzymes
— You get a clearer idea of why an LPMO behaves the way it does 8/10
— You can functionally annotate LPMOs even with novel or borderline sequences
— You can use structure to discover or repurpose enzymes
— You get a clearer idea of why an LPMO behaves the way it does 8/10
July 5, 2025 at 1:35 AM
What does this mean for biologists?
— You can functionally annotate LPMOs even with novel or borderline sequences
— You can use structure to discover or repurpose enzymes
— You get a clearer idea of why an LPMO behaves the way it does 8/10
— You can functionally annotate LPMOs even with novel or borderline sequences
— You can use structure to discover or repurpose enzymes
— You get a clearer idea of why an LPMO behaves the way it does 8/10
With these features, we trained several ML models.
🥇 Best performer? SVM with an RBF kernel — 98% accuracy
🥈 MLP (tanh + adam) also did well — 97% accuracy
These models can classify LPMOs just from structural fingerprints! 7/10
🥇 Best performer? SVM with an RBF kernel — 98% accuracy
🥈 MLP (tanh + adam) also did well — 97% accuracy
These models can classify LPMOs just from structural fingerprints! 7/10
July 5, 2025 at 1:35 AM
With these features, we trained several ML models.
🥇 Best performer? SVM with an RBF kernel — 98% accuracy
🥈 MLP (tanh + adam) also did well — 97% accuracy
These models can classify LPMOs just from structural fingerprints! 7/10
🥇 Best performer? SVM with an RBF kernel — 98% accuracy
🥈 MLP (tanh + adam) also did well — 97% accuracy
These models can classify LPMOs just from structural fingerprints! 7/10
LPMOs (Lytic Polysaccharide Monooxygenases) are copper enzymes that cleave cellulose and chitin.
They’re central to biofuels and industrial enzyme applications.
CAZy groups them into 8 families: AA9 to AA17. 2/10
They’re central to biofuels and industrial enzyme applications.
CAZy groups them into 8 families: AA9 to AA17. 2/10
July 5, 2025 at 1:35 AM
LPMOs (Lytic Polysaccharide Monooxygenases) are copper enzymes that cleave cellulose and chitin.
They’re central to biofuels and industrial enzyme applications.
CAZy groups them into 8 families: AA9 to AA17. 2/10
They’re central to biofuels and industrial enzyme applications.
CAZy groups them into 8 families: AA9 to AA17. 2/10
🚨🚨🚨Preprint Time!!!
Excited to share our latest work on LPMOs—enzymes that break down biomass 🪵
We built a structure-based ML tool that can classify all 8 LPMO families using features extracted from 3D structures—including AlphaFold models.
It works surprisingly well. 🧵👇
Excited to share our latest work on LPMOs—enzymes that break down biomass 🪵
We built a structure-based ML tool that can classify all 8 LPMO families using features extracted from 3D structures—including AlphaFold models.
It works surprisingly well. 🧵👇
Machine learning-based structural classification of lytic polysaccharide monooxygenases https://www.biorxiv.org/content/10.1101/2025.07.02.662747v1
July 5, 2025 at 1:35 AM
🚨🚨🚨Preprint Time!!!
Excited to share our latest work on LPMOs—enzymes that break down biomass 🪵
We built a structure-based ML tool that can classify all 8 LPMO families using features extracted from 3D structures—including AlphaFold models.
It works surprisingly well. 🧵👇
Excited to share our latest work on LPMOs—enzymes that break down biomass 🪵
We built a structure-based ML tool that can classify all 8 LPMO families using features extracted from 3D structures—including AlphaFold models.
It works surprisingly well. 🧵👇
Machine learning-based structural classification of lytic polysaccharide monooxygenases [new]
LPMOs: Uses structural features and ML to classify LPMOs (AA9-17), enabling annotation of new sequences within these families.
LPMOs: Uses structural features and ML to classify LPMOs (AA9-17), enabling annotation of new sequences within these families.
July 2, 2025 at 5:32 PM
Machine learning-based structural classification of lytic polysaccharide monooxygenases [new]
LPMOs: Uses structural features and ML to classify LPMOs (AA9-17), enabling annotation of new sequences within these families.
LPMOs: Uses structural features and ML to classify LPMOs (AA9-17), enabling annotation of new sequences within these families.
📢Check out the ICF_research by Erik D. Hedegård et al. from the University of Southern Denmark
👉The mechanism behind the oxidase activity of cellulose-active AA10 lytic polysaccharide monooxygenases
#bioinorganic
doi.org/10.1039/D5QI...
👉The mechanism behind the oxidase activity of cellulose-active AA10 lytic polysaccharide monooxygenases
#bioinorganic
doi.org/10.1039/D5QI...
The mechanism behind the oxidase activity of cellulose-active AA10 lytic polysaccharide monooxygenases
Lytic polysaccharide monooxygenases (LPMOs) are copper enzymes that boost the degradation of different polysaccharides and play important roles in the sustainable production of biofuels, in human and ...
doi.org
June 13, 2025 at 9:05 AM
📢Check out the ICF_research by Erik D. Hedegård et al. from the University of Southern Denmark
👉The mechanism behind the oxidase activity of cellulose-active AA10 lytic polysaccharide monooxygenases
#bioinorganic
doi.org/10.1039/D5QI...
👉The mechanism behind the oxidase activity of cellulose-active AA10 lytic polysaccharide monooxygenases
#bioinorganic
doi.org/10.1039/D5QI...
📢 Please share if you believe science should stay open, collaborative, and hopeful.
📖 Read the preprint: www.biorxiv.org/content/10.1...
👨🔬 Team: Kavin, Priyadharshini, Vaishnavi & Ragothaman Yennamalli
Even in dark times, we keep building. 🔬✨
#ScienceTwitter #MLforBiology #Bioenergy #OpenScience
📖 Read the preprint: www.biorxiv.org/content/10.1...
👨🔬 Team: Kavin, Priyadharshini, Vaishnavi & Ragothaman Yennamalli
Even in dark times, we keep building. 🔬✨
#ScienceTwitter #MLforBiology #Bioenergy #OpenScience
PreDSLpmo V2.0: A deep learning-based prediction tool for functional annotation of lytic polysaccharide monooxygenases
Lytic polysaccharide monooxygenases (LPMOs) are redox enzymes in the oxidative cleavage of recalcitrant polysaccharides, facilitating efficient biomass deconstruction for biofuel production. While com...
www.biorxiv.org
June 13, 2025 at 3:04 AM
📢 Please share if you believe science should stay open, collaborative, and hopeful.
📖 Read the preprint: www.biorxiv.org/content/10.1...
👨🔬 Team: Kavin, Priyadharshini, Vaishnavi & Ragothaman Yennamalli
Even in dark times, we keep building. 🔬✨
#ScienceTwitter #MLforBiology #Bioenergy #OpenScience
📖 Read the preprint: www.biorxiv.org/content/10.1...
👨🔬 Team: Kavin, Priyadharshini, Vaishnavi & Ragothaman Yennamalli
Even in dark times, we keep building. 🔬✨
#ScienceTwitter #MLforBiology #Bioenergy #OpenScience
🌱 Why it matters:
LPMOs are at the frontier of bioenergy. Identifying new ones helps unlock better biocatalysts.
With PreDSLpmo v2.0, we make high-throughput, sequence-based annotation possible.
Let’s decode enzymes to power a greener future.
6/8
LPMOs are at the frontier of bioenergy. Identifying new ones helps unlock better biocatalysts.
With PreDSLpmo v2.0, we make high-throughput, sequence-based annotation possible.
Let’s decode enzymes to power a greener future.
6/8
June 13, 2025 at 3:04 AM
🌱 Why it matters:
LPMOs are at the frontier of bioenergy. Identifying new ones helps unlock better biocatalysts.
With PreDSLpmo v2.0, we make high-throughput, sequence-based annotation possible.
Let’s decode enzymes to power a greener future.
6/8
LPMOs are at the frontier of bioenergy. Identifying new ones helps unlock better biocatalysts.
With PreDSLpmo v2.0, we make high-throughput, sequence-based annotation possible.
Let’s decode enzymes to power a greener future.
6/8
🧪 What’s the challenge?
Lytic polysaccharide monooxygenases (LPMOs) break down tough plant material—vital for sustainable biofuels and green chemistry.
But most tools only classify a few families. Many LPMO sequences remain unannotated.
2/8
Lytic polysaccharide monooxygenases (LPMOs) break down tough plant material—vital for sustainable biofuels and green chemistry.
But most tools only classify a few families. Many LPMO sequences remain unannotated.
2/8
June 13, 2025 at 3:04 AM
🧪 What’s the challenge?
Lytic polysaccharide monooxygenases (LPMOs) break down tough plant material—vital for sustainable biofuels and green chemistry.
But most tools only classify a few families. Many LPMO sequences remain unannotated.
2/8
Lytic polysaccharide monooxygenases (LPMOs) break down tough plant material—vital for sustainable biofuels and green chemistry.
But most tools only classify a few families. Many LPMO sequences remain unannotated.
2/8
The world feels heavy these days. But here’s something small and hopeful from our corner of science.
We just posted our preprint on a deep learning tool for enzyme annotation:
🔗 www.biorxiv.org/content/10.1...
#Bioinformatics #DeepLearning
1/8
We just posted our preprint on a deep learning tool for enzyme annotation:
🔗 www.biorxiv.org/content/10.1...
#Bioinformatics #DeepLearning
1/8
June 13, 2025 at 3:04 AM
The world feels heavy these days. But here’s something small and hopeful from our corner of science.
We just posted our preprint on a deep learning tool for enzyme annotation:
🔗 www.biorxiv.org/content/10.1...
#Bioinformatics #DeepLearning
1/8
We just posted our preprint on a deep learning tool for enzyme annotation:
🔗 www.biorxiv.org/content/10.1...
#Bioinformatics #DeepLearning
1/8
Some papers highlighted in this collection:
"Selective oxidation of active site aromatic residues in engineered Cu proteins" doi.org/10.1039/D4SC...
"Nickel model complexes to mimic carbon monoxide dehydrogenase reactions" doi.org/10.1039/D4SC...
"Selective oxidation of active site aromatic residues in engineered Cu proteins" doi.org/10.1039/D4SC...
"Nickel model complexes to mimic carbon monoxide dehydrogenase reactions" doi.org/10.1039/D4SC...
Selective oxidation of active site aromatic residues in engineered Cu proteins
Recent studies have revealed critical roles for the local environments surrounding metallocofactors, such as the newly identified CuD site in particulate methane monooxygenases (pMMOs) and the second sphere aromatic residues in lytic polysaccharide monooxygenases (LPMOs), implicated in the protection against
doi.org
May 26, 2025 at 9:00 AM
Some papers highlighted in this collection:
"Selective oxidation of active site aromatic residues in engineered Cu proteins" doi.org/10.1039/D4SC...
"Nickel model complexes to mimic carbon monoxide dehydrogenase reactions" doi.org/10.1039/D4SC...
"Selective oxidation of active site aromatic residues in engineered Cu proteins" doi.org/10.1039/D4SC...
"Nickel model complexes to mimic carbon monoxide dehydrogenase reactions" doi.org/10.1039/D4SC...
Curious about how #Biotechnology can help modern society transition into a #Sustainable future? Follow our project twitter: https://x.com/HOPE59966358 and discover our ongoing #research in #LPMOs and how these amazing #enzymes can help us produce sustainable chemicals #dkgreen
April 14, 2025 at 11:53 AM
Curious about how #Biotechnology can help modern society transition into a #Sustainable future? Follow our project twitter: https://x.com/HOPE59966358 and discover our ongoing #research in #LPMOs and how these amazing #enzymes can help us produce sustainable chemicals #dkgreen
Thanks to everyone attending the @LPMOsympos2018 for being so welcoming to newcomers to the field! @rennig_m, @HdezRollan, and I were pleasantly surprised that you found or work interesting, despite it not being directly connected to #LPMOs.
April 14, 2025 at 11:48 AM
Thanks to everyone attending the @LPMOsympos2018 for being so welcoming to newcomers to the field! @rennig_m, @HdezRollan, and I were pleasantly surprised that you found or work interesting, despite it not being directly connected to #LPMOs.
Wrapping your head around #LPMOs can be a bit overwhelming. For me the review "Oxygen Activation by Cu LPMOs in Recalcitrant Carbohydrate Polysaccharide Conversion to Monomer Sugars" from @ACSChemRev was especially helpful. Long but thorough!
April 14, 2025 at 11:48 AM
Wrapping your head around #LPMOs can be a bit overwhelming. For me the review "Oxygen Activation by Cu LPMOs in Recalcitrant Carbohydrate Polysaccharide Conversion to Monomer Sugars" from @ACSChemRev was especially helpful. Long but thorough!