Opportunities and challenges for machine learning-assisted enzyme engineering
Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
A guide to artificial intelligence for cancer researchers
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …
a readily accessible tool for cancer researchers. AI-based tools can boost research …
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences
M Varadi, D Bertoni, P Magana, U Paramval… - Nucleic acids …, 2024 - academic.oup.com
Abstract The AlphaFold Database Protein Structure Database (AlphaFold DB,
https://alphafold. ebi. ac. uk) has significantly impacted structural biology by amassing over …
https://alphafold. ebi. ac. uk) has significantly impacted structural biology by amassing over …
Prediction-powered inference
Prediction-powered inference is a framework for performing valid statistical inference when
an experimental dataset is supplemented with predictions from a machine-learning system …
an experimental dataset is supplemented with predictions from a machine-learning system …
Uncovering new families and folds in the natural protein universe
J Durairaj, AM Waterhouse, T Mets, T Brodiazhenko… - Nature, 2023 - nature.com
We are now entering a new era in protein sequence and structure annotation, with hundreds
of millions of predicted protein structures made available through the AlphaFold database …
of millions of predicted protein structures made available through the AlphaFold database …
Bilingual language model for protein sequence and structure
Advanced Artificial Intelligence (AI) enabled large language models (LLMs) to revolutionize
Natural Language Processing (NLP). Their adaptation to protein sequences spawned the …
Natural Language Processing (NLP). Their adaptation to protein sequences spawned the …
Deep learning for protein structure prediction and design—progress and applications
J Jänes, P Beltrao - Molecular Systems Biology, 2024 - embopress.org
Proteins are the key molecular machines that orchestrate all biological processes of the cell.
Most proteins fold into three-dimensional shapes that are critical for their function. Studying …
Most proteins fold into three-dimensional shapes that are critical for their function. Studying …
The immune modules conserved across the tree of life: Towards a definition of ancestral immunity
A Bernheim, J Cury, EZ Poirier - Plos Biology, 2024 - journals.plos.org
Immune defence mechanisms exist across the tree of life in such diversity that prokaryotic
antiviral responses have historically been considered unrelated to eukaryotic immunity …
antiviral responses have historically been considered unrelated to eukaryotic immunity …
[HTML][HTML] Integrating cellular electron microscopy with multimodal data to explore biology across space and time
Biology spans a continuum of length and time scales. Individual experimental methods only
glimpse discrete pieces of this spectrum but can be combined to construct a more holistic …
glimpse discrete pieces of this spectrum but can be combined to construct a more holistic …
Random, de novo, and conserved proteins: how structure and disorder predictors perform differently
L Middendorf, LA Eicholt - Proteins: Structure, Function, and …, 2024 - Wiley Online Library
Understanding the emergence and structural characteristics of de novo and random proteins
is crucial for unraveling protein evolution and designing novel enzymes. However …
is crucial for unraveling protein evolution and designing novel enzymes. However …