This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023. Event description AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research. Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein s...
This record includes training materials associated with the Australian BioCommons webinar ‘Getting s...
Breakthrough methods in machine learning (ML), protein structure prediction, and novel ultrafast str...
Here, the authors evaluate the performance of AlphaFold2 and its predicted structures on common stru...
For decades, scientists have struggled to predict the ways in which the many proteins in the human b...
International audienceIn 2021, the release of AlphaFold2-the DeepMind's machine-learning protein str...
AlphaFold2 is a machine-learning algorithm for protein structure prediction that has now been used t...
By analysing the structure of a protein it is possible to draw conclusions about its function. Obtai...
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensiona...
5 p.-1 fig.The biological-biochemical community has been shocked and delighted by the remarkable pro...
Slides for the 2022-2023 editions of the Integrated Structural Biology workshop at SciLifeLab.The to...
Proteins are the essential agents of all living systems. Even though they are synthesized as linear ...
The protein sequence determines how it will fold into its unique three-dimensional structure. Once f...
Artificial intelligence has revolutionized many societal and scientific domains, and structural biol...
12 pags., 5 figs.The artificial intelligence program AlphaFold 2 is revolutionizing the field of pro...
The Protein Data Bank (PDB) was established in 1971 to archive three-dimensional (3D) structures of ...
This record includes training materials associated with the Australian BioCommons webinar ‘Getting s...
Breakthrough methods in machine learning (ML), protein structure prediction, and novel ultrafast str...
Here, the authors evaluate the performance of AlphaFold2 and its predicted structures on common stru...
For decades, scientists have struggled to predict the ways in which the many proteins in the human b...
International audienceIn 2021, the release of AlphaFold2-the DeepMind's machine-learning protein str...
AlphaFold2 is a machine-learning algorithm for protein structure prediction that has now been used t...
By analysing the structure of a protein it is possible to draw conclusions about its function. Obtai...
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensiona...
5 p.-1 fig.The biological-biochemical community has been shocked and delighted by the remarkable pro...
Slides for the 2022-2023 editions of the Integrated Structural Biology workshop at SciLifeLab.The to...
Proteins are the essential agents of all living systems. Even though they are synthesized as linear ...
The protein sequence determines how it will fold into its unique three-dimensional structure. Once f...
Artificial intelligence has revolutionized many societal and scientific domains, and structural biol...
12 pags., 5 figs.The artificial intelligence program AlphaFold 2 is revolutionizing the field of pro...
The Protein Data Bank (PDB) was established in 1971 to archive three-dimensional (3D) structures of ...
This record includes training materials associated with the Australian BioCommons webinar ‘Getting s...
Breakthrough methods in machine learning (ML), protein structure prediction, and novel ultrafast str...
Here, the authors evaluate the performance of AlphaFold2 and its predicted structures on common stru...