SheWantTheD
Veteran
I did not, went off OP's thread title which is misinformation
In seconds, AI builds proteins to battle cancer and antibiotic resistance
- Thread starter bnew
- Start date
Interested to see if it’s not inherently toxic to the host its trying to save
levitate
I love you, you know.
Good.
Dzali OG
Dz Ali OG...Pay me like you owe me!
Look i embrace the future that's coming (rather we want it to or not). You can get on board or get left behind. Last time we got left behind we wound up colonized and in slavery!
If you're so afraid of science...get your ass educated and involved. Instead of sitting on the sideline crying wishing we returned to goat herder status.
If you're so afraid of science...get your ass educated and involved. Instead of sitting on the sideline crying wishing we returned to goat herder status.
That’s the whole point…. I dint need to contact them I just need to see the real world application. And if it could so much in seconds…. In days …weeks…. Months … years….. we’d already have a productyou can contact them about that...
Key Contacts:
Name Affiliation(s) Role Dr. Rhys Grinter Monash Biomedicine Discovery Institute Co-lead, AI Protein Design Program A/Prof. Gavin Knott University of Melbourne Bio21 Institute; Monash Co-lead, AI Protein Design Program
seems like there was some promising research back in 2023.
https://www.fiercebiotech.com/research/explainable-ai-discovers-new-class-antibiotics-stop-mrsa-mice
Using AI, MIT researchers identify a new class of antibiotic candidates
Using artificial intelligence, MIT researchers discovered a class of compounds that can kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes more than 10,000 deaths in the U.S. each year.news.mit.edu
And they learned about a year ago and nothing…
@Curioser
www.bbc.com
3 hours ago
James Gallagher
Health and science correspondent•@JamesTGallagher
Getty Images
Artificial intelligence has invented two new potential antibiotics that could kill drug-resistant gonorrhoea and MRSA, researchers have revealed.
The drugs were designed atom-by-atom by the AI and killed the superbugs in laboratory and animal tests.
The two compounds still need years of refinement and clinical trials before they could be prescribed.
But the Massachusetts Institute of Technology (MIT) team behind it say AI could start a "second golden age" in antibiotic discovery.
Antibiotics kill bacteria, but infections that resist treatment are now causing more than a million deaths a year.
Overusing antibiotics has helped bacteria evolve to dodge the drugs' effects, and there has been a shortage of new antibiotics for decades.
Researchers have previously used AI to trawl through thousands of known chemicals in an attempt to identify ones with potential to become new antibiotics.
Now, the MIT team have gone one step further by using generative AI to design antibiotics in the first place for the sexually transmitted infection gonorrhoea and for potentially-deadly MRSA (methicillin-resistant Staphylococcus aureus).
Their study, published in the journal Cell, interrogated 36 million compounds including those that either do not exist or have not yet been discovered.
Scientists trained the AI by giving it the chemical structure of known compounds alongside data on whether they slow the growth of different species of bacteria.
The AI then learns how bacteria are affected by different molecular structures, built of atoms such as carbon, oxygen, hydrogen and nitrogen.
Two approaches were then tried to design new antibiotics with AI. The first identified a promising starting point by searching through a library of millions of chemical fragments, eight to 19 atoms in size, and built from there. The second gave the AI free rein from the start.
The design process also weeded out anything that looked too similar to current antibiotics. It also tried to ensure they were inventing medicines rather than soap and to filter out anything predicted to be toxic to humans.
Scientists used AI to create antibiotics for gonorrhoea and MRSA, a type of bacteria that lives harmlessly on the skin but can cause a serious infection if it enters the body.
Once manufactured, the leading designs were tested on bacteria in the lab and on infected mice, resulting in two new potential drugs.
MIT
Prof James Collins, one of the researchers at MIT
"We're excited because we show that generative AI can be used to design completely new antibiotics," Prof James Collins, from MIT, tells the BBC.
"AI can enable us to come up with molecules, cheaply and quickly and in this way, expand our arsenal, and really give us a leg up in the battle of our wits against the genes of superbugs."
However, they are not ready for clinical trials and the drugs will require refinement – estimated to take another one to two year's work – before the long process of testing them in people could begin.
Dr Andrew Edwards, from the Fleming Initiative and Imperial College London, said the work was "very significant" with "enormous potential" because it "demonstrates a novel approach to identifying new antibiotics".
But he added: "While AI promises to dramatically improve drug discovery and development, we still need to do the hard yards when it comes to testing safety and efficacy."
That can be a long and expensive process with no guarantee that the experimental medicines will be prescribed to patients at the end.
Some are calling for AI drug discovery more broadly to improve. Prof Collins says "we need better models" that move beyond how well the drugs perform in the laboratory to ones that are a better predictor of their effectiveness in the body.
There is also an issue with how challenging the AI-designs are to manufacture. Of the top 80 gonorrhoea treatments designed in theory, only two were synthesised to create medicines.
Prof Chris Dowson, at the University of Warwick, said the study was "cool" and showed AI was a "significant step forward as a tool for antibiotic discovery to mitigate against the emergence of resistance".
However, he explains, there is also an economic problem factoring into drug-resistant infections - "how do you make drugs that have no commercial value?"
If a new antibiotic was invented, then ideally you would use it as little as possible to preserve its effectiveness, making it hard for anyone to turn a profit.
AI designs new superbug-killing antibiotics for gonorrhoea and MRSA
Two new potential drugs have been designed by AI to kill drug-resistant bacteria, in a major Massachusetts Institute of Technology study.
www.bbc.com
AI designs antibiotics for gonorrhoea and MRSA superbugs
3 hours ago
James Gallagher
Health and science correspondent•@JamesTGallagher
Artificial intelligence has invented two new potential antibiotics that could kill drug-resistant gonorrhoea and MRSA, researchers have revealed.
The drugs were designed atom-by-atom by the AI and killed the superbugs in laboratory and animal tests.
The two compounds still need years of refinement and clinical trials before they could be prescribed.
But the Massachusetts Institute of Technology (MIT) team behind it say AI could start a "second golden age" in antibiotic discovery.
Antibiotics kill bacteria, but infections that resist treatment are now causing more than a million deaths a year.
Overusing antibiotics has helped bacteria evolve to dodge the drugs' effects, and there has been a shortage of new antibiotics for decades.
Researchers have previously used AI to trawl through thousands of known chemicals in an attempt to identify ones with potential to become new antibiotics.
New superbug-killing antibiotic discovered using AI
Now, the MIT team have gone one step further by using generative AI to design antibiotics in the first place for the sexually transmitted infection gonorrhoea and for potentially-deadly MRSA (methicillin-resistant Staphylococcus aureus).
Their study, published in the journal Cell, interrogated 36 million compounds including those that either do not exist or have not yet been discovered.
Scientists trained the AI by giving it the chemical structure of known compounds alongside data on whether they slow the growth of different species of bacteria.
The AI then learns how bacteria are affected by different molecular structures, built of atoms such as carbon, oxygen, hydrogen and nitrogen.
Two approaches were then tried to design new antibiotics with AI. The first identified a promising starting point by searching through a library of millions of chemical fragments, eight to 19 atoms in size, and built from there. The second gave the AI free rein from the start.
The design process also weeded out anything that looked too similar to current antibiotics. It also tried to ensure they were inventing medicines rather than soap and to filter out anything predicted to be toxic to humans.
Scientists used AI to create antibiotics for gonorrhoea and MRSA, a type of bacteria that lives harmlessly on the skin but can cause a serious infection if it enters the body.
Once manufactured, the leading designs were tested on bacteria in the lab and on infected mice, resulting in two new potential drugs.
Prof James Collins, one of the researchers at MIT
"We're excited because we show that generative AI can be used to design completely new antibiotics," Prof James Collins, from MIT, tells the BBC.
"AI can enable us to come up with molecules, cheaply and quickly and in this way, expand our arsenal, and really give us a leg up in the battle of our wits against the genes of superbugs."
However, they are not ready for clinical trials and the drugs will require refinement – estimated to take another one to two year's work – before the long process of testing them in people could begin.
I found a bacteria-eating virus in my loo - could it save your life?
Dr Andrew Edwards, from the Fleming Initiative and Imperial College London, said the work was "very significant" with "enormous potential" because it "demonstrates a novel approach to identifying new antibiotics".
But he added: "While AI promises to dramatically improve drug discovery and development, we still need to do the hard yards when it comes to testing safety and efficacy."
That can be a long and expensive process with no guarantee that the experimental medicines will be prescribed to patients at the end.
Some are calling for AI drug discovery more broadly to improve. Prof Collins says "we need better models" that move beyond how well the drugs perform in the laboratory to ones that are a better predictor of their effectiveness in the body.
There is also an issue with how challenging the AI-designs are to manufacture. Of the top 80 gonorrhoea treatments designed in theory, only two were synthesised to create medicines.
Prof Chris Dowson, at the University of Warwick, said the study was "cool" and showed AI was a "significant step forward as a tool for antibiotic discovery to mitigate against the emergence of resistance".
However, he explains, there is also an economic problem factoring into drug-resistant infections - "how do you make drugs that have no commercial value?"
If a new antibiotic was invented, then ideally you would use it as little as possible to preserve its effectiveness, making it hard for anyone to turn a profit.
I should send this to the southside@Curioser
AI designs new superbug-killing antibiotics for gonorrhoea and MRSA
Two new potential drugs have been designed by AI to kill drug-resistant bacteria, in a major Massachusetts Institute of Technology study.
AI designs antibiotics for gonorrhoea and MRSA superbugs
3 hours ago
James Gallagher
Health and science correspondent•@JamesTGallagher
Getty Images
Artificial intelligence has invented two new potential antibiotics that could kill drug-resistant gonorrhoea and MRSA, researchers have revealed.
The drugs were designed atom-by-atom by the AI and killed the superbugs in laboratory and animal tests.
The two compounds still need years of refinement and clinical trials before they could be prescribed.
But the Massachusetts Institute of Technology (MIT) team behind it say AI could start a "second golden age" in antibiotic discovery.
Antibiotics kill bacteria, but infections that resist treatment are now causing more than a million deaths a year.
Overusing antibiotics has helped bacteria evolve to dodge the drugs' effects, and there has been a shortage of new antibiotics for decades.
Researchers have previously used AI to trawl through thousands of known chemicals in an attempt to identify ones with potential to become new antibiotics.
New superbug-killing antibiotic discovered using AI
Now, the MIT team have gone one step further by using generative AI to design antibiotics in the first place for the sexually transmitted infection gonorrhoea and for potentially-deadly MRSA (methicillin-resistant Staphylococcus aureus).
Their study, published in the journal Cell, interrogated 36 million compounds including those that either do not exist or have not yet been discovered.
Scientists trained the AI by giving it the chemical structure of known compounds alongside data on whether they slow the growth of different species of bacteria.
The AI then learns how bacteria are affected by different molecular structures, built of atoms such as carbon, oxygen, hydrogen and nitrogen.
Two approaches were then tried to design new antibiotics with AI. The first identified a promising starting point by searching through a library of millions of chemical fragments, eight to 19 atoms in size, and built from there. The second gave the AI free rein from the start.
The design process also weeded out anything that looked too similar to current antibiotics. It also tried to ensure they were inventing medicines rather than soap and to filter out anything predicted to be toxic to humans.
Scientists used AI to create antibiotics for gonorrhoea and MRSA, a type of bacteria that lives harmlessly on the skin but can cause a serious infection if it enters the body.
Once manufactured, the leading designs were tested on bacteria in the lab and on infected mice, resulting in two new potential drugs.
MIT
Prof James Collins, one of the researchers at MIT
"We're excited because we show that generative AI can be used to design completely new antibiotics," Prof James Collins, from MIT, tells the BBC.
"AI can enable us to come up with molecules, cheaply and quickly and in this way, expand our arsenal, and really give us a leg up in the battle of our wits against the genes of superbugs."
However, they are not ready for clinical trials and the drugs will require refinement – estimated to take another one to two year's work – before the long process of testing them in people could begin.
I found a bacteria-eating virus in my loo - could it save your life?
Dr Andrew Edwards, from the Fleming Initiative and Imperial College London, said the work was "very significant" with "enormous potential" because it "demonstrates a novel approach to identifying new antibiotics".
But he added: "While AI promises to dramatically improve drug discovery and development, we still need to do the hard yards when it comes to testing safety and efficacy."
That can be a long and expensive process with no guarantee that the experimental medicines will be prescribed to patients at the end.
Some are calling for AI drug discovery more broadly to improve. Prof Collins says "we need better models" that move beyond how well the drugs perform in the laboratory to ones that are a better predictor of their effectiveness in the body.
There is also an issue with how challenging the AI-designs are to manufacture. Of the top 80 gonorrhoea treatments designed in theory, only two were synthesised to create medicines.
Prof Chris Dowson, at the University of Warwick, said the study was "cool" and showed AI was a "significant step forward as a tool for antibiotic discovery to mitigate against the emergence of resistance".
However, he explains, there is also an economic problem factoring into drug-resistant infections - "how do you make drugs that have no commercial value?"
If a new antibiotic was invented, then ideally you would use it as little as possible to preserve its effectiveness, making it hard for anyone to turn a profit.
@Curioser
AI designs new superbug-killing antibiotics for gonorrhoea and MRSA
Two new potential drugs have been designed by AI to kill drug-resistant bacteria, in a major Massachusetts Institute of Technology study.
AI designs antibiotics for gonorrhoea and MRSA superbugs
3 hours ago
James Gallagher
Health and science correspondent•@JamesTGallagher
Getty Images
Artificial intelligence has invented two new potential antibiotics that could kill drug-resistant gonorrhoea and MRSA, researchers have revealed.
The drugs were designed atom-by-atom by the AI and killed the superbugs in laboratory and animal tests.
The two compounds still need years of refinement and clinical trials before they could be prescribed.
But the Massachusetts Institute of Technology (MIT) team behind it say AI could start a "second golden age" in antibiotic discovery.
Antibiotics kill bacteria, but infections that resist treatment are now causing more than a million deaths a year.
Overusing antibiotics has helped bacteria evolve to dodge the drugs' effects, and there has been a shortage of new antibiotics for decades.
Researchers have previously used AI to trawl through thousands of known chemicals in an attempt to identify ones with potential to become new antibiotics.
New superbug-killing antibiotic discovered using AI
Now, the MIT team have gone one step further by using generative AI to design antibiotics in the first place for the sexually transmitted infection gonorrhoea and for potentially-deadly MRSA (methicillin-resistant Staphylococcus aureus).
Their study, published in the journal Cell, interrogated 36 million compounds including those that either do not exist or have not yet been discovered.
Scientists trained the AI by giving it the chemical structure of known compounds alongside data on whether they slow the growth of different species of bacteria.
The AI then learns how bacteria are affected by different molecular structures, built of atoms such as carbon, oxygen, hydrogen and nitrogen.
Two approaches were then tried to design new antibiotics with AI. The first identified a promising starting point by searching through a library of millions of chemical fragments, eight to 19 atoms in size, and built from there. The second gave the AI free rein from the start.
The design process also weeded out anything that looked too similar to current antibiotics. It also tried to ensure they were inventing medicines rather than soap and to filter out anything predicted to be toxic to humans.
Scientists used AI to create antibiotics for gonorrhoea and MRSA, a type of bacteria that lives harmlessly on the skin but can cause a serious infection if it enters the body.
Once manufactured, the leading designs were tested on bacteria in the lab and on infected mice, resulting in two new potential drugs.
MIT
Prof James Collins, one of the researchers at MIT
"We're excited because we show that generative AI can be used to design completely new antibiotics," Prof James Collins, from MIT, tells the BBC.
"AI can enable us to come up with molecules, cheaply and quickly and in this way, expand our arsenal, and really give us a leg up in the battle of our wits against the genes of superbugs."
However, they are not ready for clinical trials and the drugs will require refinement – estimated to take another one to two year's work – before the long process of testing them in people could begin.
I found a bacteria-eating virus in my loo - could it save your life?
Dr Andrew Edwards, from the Fleming Initiative and Imperial College London, said the work was "very significant" with "enormous potential" because it "demonstrates a novel approach to identifying new antibiotics".
But he added: "While AI promises to dramatically improve drug discovery and development, we still need to do the hard yards when it comes to testing safety and efficacy."
That can be a long and expensive process with no guarantee that the experimental medicines will be prescribed to patients at the end.
Some are calling for AI drug discovery more broadly to improve. Prof Collins says "we need better models" that move beyond how well the drugs perform in the laboratory to ones that are a better predictor of their effectiveness in the body.
There is also an issue with how challenging the AI-designs are to manufacture. Of the top 80 gonorrhoea treatments designed in theory, only two were synthesised to create medicines.
Prof Chris Dowson, at the University of Warwick, said the study was "cool" and showed AI was a "significant step forward as a tool for antibiotic discovery to mitigate against the emergence of resistance".
However, he explains, there is also an economic problem factoring into drug-resistant infections - "how do you make drugs that have no commercial value?"
If a new antibiotic was invented, then ideally you would use it as little as possible to preserve its effectiveness, making it hard for anyone to turn a profit.
I also have a lot of projects in my lab with “potential“…. The point stands if AI could’ve, it would already have been done….Richard Glidewell
Yall done tore all the bottom of ya shoes w/me!!!
AI and eliminating regulations gone have these cacs trying to inject this shyt straight into humans with no trials......... gone have people mutated into all kinds of cronenberg shyt and eldritch horrors..........
nah, just like covid when people are dying emergency authorizations will get fastp-tracked. trump is alive cause nothing on th market was help9ing him so the FDA gave him a emergency authorization to receive regeneron. you think some whose told they got weeks to live won't risk taking experimental treatments?
Richard Glidewell
Yall done tore all the bottom of ya shoes w/me!!!
I'll just die if they told me I had a week. I don't fear dying like that. I keep up with my health so there will never be a surprise too late stage 4 type issue with me........letting cacs experiment on me is a non starter......I would never put my people in that financial bind......they know my stance......pursuit of life would have people sell their actual souls to keep living.......I can't couldn't would t
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