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morrowasted
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Machine learning algorithm to target anticancer compounds in foods 1
#26390226 - 12/19/19 07:38 AM (4 years, 1 month ago) |
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HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods
The validated model performance predicted anti-cancer therapeutics with classification accuracy of 84–90%. A comprehensive database of 7962 bioactive molecules within foods was fed into the model, which predicted 110 cancer-beating molecules (defined by anti-cancer drug likeness threshold of >70%) with expected capacity comparable to clinically approved anti-cancer drugs from a variety of chemical classes including flavonoids, terpenoids, and polyphenols. This in turn was used to construct a ‘food map’ with anti-cancer potential of each ingredient defined by the number of cancer-beating molecules found therein.
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It is accepted that regular consumption of fruits and vegetables can reduce the risk of carcinogenesis (42). However, when antiproliferative agents acting in isolation have been subjected to clinical trial evaluation they do not appear to consistently confer the same level of benefit. The point is simply illustrated in the case of the apple; apple extracts contain bioactive compounds that have been shown to inhibit tumor cell growth in vitro. However, interestingly phytochemicals in apples with the peel preserved inhibit colon cancer cell proliferation by 43%, whereas this effect was found to be reduced to 29% when apple without peel was tested. From these observations it is therefore clear that the successful implementation of food-based approaches in the fight against complex diseases such as cancer will rely on a consortium of biologically active substances, such as those present in whole fruits and vegetables, in order to increase the chances of success. The anti-cancer properties of a given food will thus be determined by (1) the additive, antagonistic and synergistic actions of their individual components and (2) the way in which these simultaneously modulate different intracellular oncogenic pathways.
This is super dope
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morrowasted
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: morrowasted]
#26390227 - 12/19/19 07:40 AM (4 years, 1 month ago) |
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These are the 110 compounds in question. REMEMBER this is explicitly saying that there's no evidence yet that supplementing this stuff will help prevent cancer. These are, in a way, toxic compounds, just like anticancer drugs. But as always, the dose makes the poison or the medicine. Eat whole fruits and vegetables.
Edited by morrowasted (12/19/19 07:40 AM)
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cannabinated


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Re: Machine learning algorithm to target anticancer compounds in foods [Re: morrowasted]
#26390234 - 12/19/19 07:50 AM (4 years, 1 month ago) |
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This is dumb
I peel the apple knowing im losing out just cause they coat it with shellac n other weird stuff
I guess it pays to go orgainc
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morrowasted
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: cannabinated]
#26390248 - 12/19/19 08:06 AM (4 years, 1 month ago) |
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Quote:
This is dumb
Ah yes, using advanced computer software to map the comparability of naturally occurring compounds to known anticancer compounds in an effort to improve preventative and pharmacologic strategies that will save lives is "dumb".
The use of pesticides, fertilizers, and other processes related to produce are different issues altogether.
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Morel Guy
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: morrowasted]
#26390252 - 12/19/19 08:13 AM (4 years, 1 month ago) |
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They add about as many bad chems to food
-------------------- "in sterquiliniis invenitur in stercore invenitur" In filth it will be found in dung it will be found
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morrowasted
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: Morel Guy]
#26390256 - 12/19/19 08:15 AM (4 years, 1 month ago) |
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Quote:
Morel Guy said: They add about as many bad chems to food
Fortunately we live in a society where we are free to choose what we eat, given even a modest level of income. And it turns out that some things are better than others.
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psi
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: morrowasted]
#26390278 - 12/19/19 08:38 AM (4 years, 1 month ago) |
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The similarity thing seems a bit "garbage in, garbage out". Not that this isn't useful as a rough screening tool, but it seems like a much blunter instrument than, say, physically modeling the interactions of these compounds with receptors relevant to the action of known anti-cancer drugs.
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cannabinated


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Re: Machine learning algorithm to target anticancer compounds in foods [Re: psi]
#26390298 - 12/19/19 08:45 AM (4 years, 1 month ago) |
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its the same thing
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psi
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: cannabinated]
#26390301 - 12/19/19 08:47 AM (4 years, 1 month ago) |
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How so?
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gopher
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: morrowasted]
#26390315 - 12/19/19 08:58 AM (4 years, 1 month ago) |
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Quote:
morrowasted said:
Quote:
Morel Guy said: They add about as many bad chems to food
Fortunately we live in a society where we are free to choose what we eat, given even a modest level of income. And it turns out that some things are better than others.
we dont really get to choose, its an illusion of choice, its all owned by the same companies, and its hard to find good stuff, everythings been bred to taste good, so thats more sugar and less of whatever other chemicals that used to be in the fruit/veggies that we evolved to eat
the only thing I can think of that really pisses me off about where I live is you can only get Alberta beef, its all grain/corn fed, I saw the corn fed sticker on the meat like a badge of achievement, really I want to try grass fed beef, but I cant get it where I live, at least not at a grocery store, I saw a promising lead online
-------------------- For most of the normies out there, an operating system is just a bootloader for Google Chrome. Since Disney has obtained tremendous value from the public domain, knows how important the public domain is, and is firmly determined to never contribute anything to it. My pronouns are He and Him, and my adjectives are Fat and Jazzy
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psi
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: cannabinated]
#26390320 - 12/19/19 09:01 AM (4 years, 1 month ago) |
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Actually yeah it does look like they incorporated some data from physics modeling done by others. Never mind.
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Morel Guy
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: gopher]
#26390396 - 12/19/19 09:58 AM (4 years, 1 month ago) |
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Grass fed isn't good in my opinion.
Organic grain fed would be very good. Issue with organic food is that it's very strict and not nearly as accessible to produce. Organic grass/hay (alfalfa or whatever, clover and all that) and organic grains are very difficult to locate, produce and keep the field organic.
Organic food is very expensive and it is somewhat limiting to try and live off of. It's not always better either.
Sometimes it's about getting food grown well. There can be shitty organic food and great non-organic food.
What causes cancer is a very very complex issue. We are all exposed to environmental contaminants.
-------------------- "in sterquiliniis invenitur in stercore invenitur" In filth it will be found in dung it will be found
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cannabinated


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Re: Machine learning algorithm to target anticancer compounds in foods [Re: Morel Guy]
#26390684 - 12/19/19 12:51 PM (4 years, 1 month ago) |
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its a good starting point but it will take a while to work the kinks out and optimize pathways
if we just didnt have shitty produce that would be nice, fuck school
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Niffla



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Re: Machine learning algorithm to target anticancer compounds in foods [Re: cannabinated]
#26391440 - 12/19/19 08:15 PM (4 years, 1 month ago) |
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Quote:
cannabinated said:
if we just didnt have shitty produce that would be nice, fuck school
I think the issue is just simply the sheer volume of human beings that need to be fed.
Thus the need to grow bigger produce, as fast as possible, and as many as possible.
So everything's all souped up. Even to the fish we eat.
Salmon was supposed to be good for you once upon a time (and it still is if it's wild caught), but the stuff you see in grocery stores is mass farmed salmon. They pack them like sardines in these salmon farms to the point where they live their lives from farm to your table in their own urine and waste.
Now they're considered one of the more "toxic" things you can buy now. At my local grocery store, a premiere grocery store by the way -- their salmon has a label on it like this:

See where it says "color added"? They add color to make it look more like what a salmon is supposed to look like when it comes out of the water. Like in nature.
I mean yeah these are still technically salmon but you catch my drift. They're salmon for mass consumption. And there's a lot of human mouths to feed last I checked.
Sucks but that's our reality.
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HAIL OUR NEW OTD KING
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cannabinated


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Re: Machine learning algorithm to target anticancer compounds in foods [Re: Niffla] 1
#26391445 - 12/19/19 08:20 PM (4 years, 1 month ago) |
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i try to grow my own food
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morrowasted
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Re: Machine learning algorithm to target anticancer compounds in foods [Re: cannabinated] 1
#26392075 - 12/20/19 08:10 AM (4 years, 1 month ago) |
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The contained profiles of compounds within selective foods, which were highly likely to be effective in fighting cancer. Each node in the figure denotes a particular food item and node size in each case is proportional to the number of cancer-beating molecules (CBMs). The link between nodes reflects the pairwise correlation profile of CBMs in foods, thus the clusters of foods illustrate molecular commonality between them.
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cannabinated


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Re: Machine learning algorithm to target anticancer compounds in foods [Re: morrowasted]
#26392179 - 12/20/19 09:43 AM (4 years, 1 month ago) |
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i grow a lot of those
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