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|    sci.chem    |    Chemistry and related sciences    |    55,615 messages    |
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|    Message 55,092 of 55,615    |
|    Treon Verdery to All    |
|    Rescuing children    |
|    06 Sep 22 09:46:56    |
      From: treon3verdery@gmail.com              Medicines that are effective and highly affordable benefit children, globally       and at the developing world;       I think peptide drugs are often dosable at near 100 micrograms to 1 milligram       each, a million milligrams at $1000 is 1/1000 of 1 cent a miiligram dose, it       is 1/100th of a cent, at 100 micrograms per dose it is 1/10,000 of 1 cent       ($1000 Kg) , 100        micrograms at $10,000 a Kg is 1/1000 of 1 cent, screening the database of       about 40 million (2019)       Pubmed/PMC articles to find the 300 peptides most likely to succeed as drugs       comes from parsing the data              One approach to parsing the data is a computer program, a database, or an AI,       possibly a deep learning AI              Find peptide name       Find math 40 reporting types       Rank math number reports              Finding peptides previously used as drugs:       Alternate version, crowdsourced human screening of 10,000 to 100,000 most       likely pub med PMC records the computer finds       Automated software finds patient studies and nonhuman mammal srudies       40 words like "response", " administer",        Research source: medical center       Find patient words       Stand alone sentence like "antibiotic peptide reduces days of unwellness"                     Screen again as complementary therapy, " fluorcorticoid adminstered with GABA       peptide"even though drug drug interactions                      find the simultaneous occurrence of the worlds 100 most common diseases and       also the statistical math expressions of high. effectiveness at at pcausing       any change at the hypothesis,               at jnoting that Pubmed/PMC says it indexes about 40 million papers during 2019       AD, parsing the data to gather peptide name, amount of from automatic       parsing, and having the software find the peptides with the highest p value       are simultaneously published        as having possible medical application among all medically active peptides,       and software that parses of the active peptides, or, variously listing the       three most likely to be medically useful at the 100 most frequently occurring       illnesses is another        way to generate a list of 300 medical drug peptides;              The list of the 300 most immediately utilizable peptide drugs could be       refashion as medicines; oral vasopressin utilizes a combination of chiral       amino acids to omit digestion from GI tract enzymes, it is possible peptide       sequencers and comparatively        uncomplex software that generates 10 million variations in software then makes       a list of 1 million that the least projected enzymatic digestion at the GI       tract, then a peptide sequencer attached to a million channel microfluidic       chip I read about could        move the million peptides have enzymatic digestion blocking chirality exposed       lysine amino acids; I do not know how meaningful enzymatic lysine cleavage is       but I think I read it is a frequent enzymatic cleaveage site; people that know       whether it is        better to make 500,000 peptide variants of GI tract enzyme and pH undigested,       structurally projected at software as passing membranes and reaching the       circulation, peptides then screening them on yeast or human tissue culture at       a one million well plate        is more sensible than having 11 technologists use software and CAD to just       draw the structures they think will pass the GI tract, notably the orally       dosed vasopressin peptide that passes the GI tract to be absorbed, based       partly on having two        chiralities of amino acids rather than just the one chirality that the       digestive tract enzymes cleave (digest) peptides with, then the technologists       could use CAD and a programming language to automatically replace some of the       peptides at the structure        library with chirally unusual nucleotides, then automatically modify the       structure library to put something like an intestinal membrane transport       peptide, possibly cleabeable at the circulatory system with a circulatory       system circulating enzyme that        cleaves away the transport nucleotide sequence; i think i read that at least       one enzyme cleaves peptides on the amino lysine, the technologist might use       CAD to swap lysine with another. Most similar amino acid to preprocess the 300       medical peptides        before the 11 technologists customize the CAD specifications of the 300       medical peptides, perhaps making 20 version variations for a higher       functionality screenable library of 6000 peptides, there is a possibility (?)       That the 6000 medical peptides could        then be transported through a microfluidic reactor with sequential digestive       enzymes and pH areas to find out which peptide versions of the 300 medical       peptides among 6000 will reach the circulation with fulldrug function; the       peptides that pass the        microfluidic reactor can then be automatically transported to a 10,000 well       plate yeast culture matrix or also human tissue culture to find each version       of the 300 medical peptides              If the parallism of the microfluidic enzyme system and the quantification of       drug activity at the 10,000 well plate supports it then greater than 300       medical peptides can be made to become orally available drugs;              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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