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Alphafold is an amazing tool, but please please please, dont think its omniscient and just magically knows what proteins look like. Especially considering Proteins with IDRs or ones with a Lack of similar templates. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Furthermore, people are overestimating Alphafold and its a problem. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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Foldinghome uses mechanistic modelling, allowing the time-related process to be understood more. AlphaFold uses machine learning, which although has impressive final-state accuracy, doesn't currently give any data between start and final states. But I'm not sure if this is more to do with lack of 'training' data for the ML? This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Furthermore, is Folding At Home Still Relevant And Worth The Effort? - Reddit. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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AlphaFold is helping researchers build models, but it cant yet simply find all protein states. FH has always focused on molecular dynamics, while RosettaHome (a BOINC project) looked for protein structures and has been more supplanted by AlphaFold. FH also open sources all its results and was probably used to train AlphaFold. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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Alphafold is all nice and good and I was able to display the proteins as a 3D model in blender. But how do you do really useful stuff like actually working with the structure in the raw data form (atom distance matrix)? I want to do phylogenetic comparisons with other proteins and basically analyze the substructures regarding electric charges and stuff like that. I know this can be programmed ... This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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People are overestimating Alphafold and its a problem. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Furthermore, alphaFold is helping researchers build models, but it cant yet simply find all protein states. FH has always focused on molecular dynamics, while RosettaHome (a BOINC project) looked for protein structures and has been more supplanted by AlphaFold. FH also open sources all its results and was probably used to train AlphaFold. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Moreover, the problem with AlphaFold is it's trained on a limited set of known data, specifically annotated data where a large number of similar structures exist. It sucks at predicting membrane proteins and some barrel proteins I fed it, as the active sites tend to be cocked up to the point where it can't fit known substrates. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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ralphafold A subreddit to discuss AlphaFold and proteinpeptide research. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Furthermore, is Folding At Home Still Relevant And Worth The Effort? - Reddit. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Moreover, alphafold is all nice and good and I was able to display the proteins as a 3D model in blender. But how do you do really useful stuff like actually working with the structure in the raw data form (atom distance matrix)? I want to do phylogenetic comparisons with other proteins and basically analyze the substructures regarding electric charges and stuff like that. I know this can be programmed ... This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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AlphaFold 3 is a Fantastic Breakthrough and Deserves all the ... - Reddit. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Furthermore, how to do useful stuff with Alphafold rbioinformatics - Reddit. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Moreover, the problem with AlphaFold is it's trained on a limited set of known data, specifically annotated data where a large number of similar structures exist. It sucks at predicting membrane proteins and some barrel proteins I fed it, as the active sites tend to be cocked up to the point where it can't fit known substrates. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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Alphafold is an amazing tool, but please please please, dont think its omniscient and just magically knows what proteins look like. Especially considering Proteins with IDRs or ones with a Lack of similar templates. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Furthermore, foldinghome uses mechanistic modelling, allowing the time-related process to be understood more. AlphaFold uses machine learning, which although has impressive final-state accuracy, doesn't currently give any data between start and final states. But I'm not sure if this is more to do with lack of 'training' data for the ML? This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
Moreover, how to do useful stuff with Alphafold rbioinformatics - Reddit. This aspect of What Is Alphafold Nejm Youtube plays a vital role in practical applications.
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- People are overestimating Alphafold and its a problem.
- Is Folding At Home Still Relevant And Worth The Effort? - Reddit.
- AlphaFold 3 is a Fantastic Breakthrough and Deserves all the ... - Reddit.
- How to do useful stuff with Alphafold rbioinformatics - Reddit.
- How important of a breakthrough is DeepMind's AlphaFold? - Reddit.
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