Without informing regulators or the public, mad scientists at the company apparently paired custom gene software with big compute to do something that nature will not. Moderna not off the hook either.
Had a feeling since the beginning that there was something especially nasty hidden in that code. 😞 CRIMES AGAINST HUMANITY! All premeditated and planned. Abhorrent!
And that's why they launched a smearing campaign against Sputnik - which used a simple vector from previous safe vacs and thus could not be used to deliver this monstrosity.
Here's another way to calculate the likelihood that the Pfizer spike sequence would have zero reverse complements of stop codons in the translated frame (but it doesn't consider other frames).
In the Pfizer vaccine sequence posted at the NAalytics GitHub (which is the original and not bivalent vaccine), the segment that codes for the spike protein features 47 distinct codons:
So if the codon optimization procedure ends up choosing 47 codons out of 61 non-stop codons, what are the odds that none of the 3 reverse complements of stop codons are included among the 47 codons? It's about 1.0%: ((61 - 3) over 47) divided by (61 over 47).
The Wuhan-Hu-1 spike makes use of 59 out of 61 non-stop codons, so the number of used codons is considerably reduced by the codon optimization:
However my calculation doesn't consider that the codon optimization might preferentially choose GC-rich codons, but the reverse complements of stop codons are TTA, CTA, and TCA, which all have less GC bases than alternative codons for the same amino acid.
TTA codes for leucine but it's the least GC-rich out of 6 codons for leucine, because 3 other codons have 1 GC base and 2 other codons have 2 GC bases. CTA also codes for leucine but it's one of the 3 codons with 1 GC base.
There's 6 codons for serine, out of which 3 have 2 GC bases and 3 have 1 GC base, but TCA is one of the codons with 1 GC base.
Where did you get your Pfizer reverse ORF sequence? When I searched for it at UniProt BLAST, there were 33 results which didn't even include the spidroin protein: uniprot.org/blast.
ORFs need to begin with Methionine. I dont think that is on the reverse strand. There are also differences in the Bivalent vaccine that we sequenced versus the Published monovalent Moderna vaccine sequenced by Massa et al.
The Bivalent sequence is a consensus sequence between Wuhan1 and Omicron. This likely creates some confusion. This is the reverse ORF seen in our 6777bp Moderna sequence. MQYQLESSCVVQFHALQHGLRIVLVELAAAATATTALQAATAAGHATQHDCDHHDGNQSGDKAQPDVPGPLDVLLVLPQFLQVDQALVQILGHLVQPIDLLLDVHHAGVDAADVAQVHVGAGVILEVLVQLLLEAVQLGLQGIVHGVVHDADHHVAVAAHEGVVGGDDLGLVEVPLGHEPVGAVAHEHALPGKVGLAVVADGWGGGEVLLLGGHVGHVQEHHSVGCALGKAHQVVALAAEVHPLALAQHALAHLGGGQVGAGPNLGGPDQLLGHVGLQALQPASDQPVDLHLGLGRVQPAQDVVQHAADGAEVAAQLLHQGVQGLGVVVHHVLQLAQGASGAAQAVLDLADGAVELVGDQLLVLVQHVLGHADAVEPVGHLHGEGDLQSGSSAESPAAGDGSG
These are the reverse ORFs found in Massa and Fire as identified by SnapGene. MAKGICRAAPAPKVQPLVMVPANRALVYWAIISSVSRGGSTVRPLNFWAQIRSRAAMSPRQSPYCLMKPASARVTLLNSRSSMKLRLLGLLGSGRIWLKLKPPKSLMGGVL*
Yeah I wasn't sure if I should include only ATG or also the alternative start codons. But if I included only ATG then my longest reverse ORF for Moderna was identical to your first ORF by Massa and Fire:
It's like the more info comes out about these awful products, the more it seems humanity goes into a catatonic state. Have we collectively lost our minds. It's hight time we run the perpetrators out of town.
AI enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making. Discussing aberrant proteins with AI (as a tool) to learn should not be discount. It’s a tool to be used and mastered. It helps in understanding ORF.
This is also able to be computational. Is this true? Some of us have an artificial intelligence chat bot attempting to speak inside our heads and we have our nerves pulled like puppets to make us move. Has anyone else been reporting this to you?
Given the tendency for ChatGPT to be wrong, even on very basic things (see: https://thedailybeagle.substack.com/p/breaking-the-illusion-of-chatgpt for proof), I cannot endorse any article that makes use of it, because it implies a lack of due diligence in research, and it *cannot* be trusted. I have withdrawn my like and share upon seeing it, which is a shame, because the topic itself is critical.
I recommend playing with LLMs yourself to see how reliable/unreliable they can be, in which contexts, models etc. There's a lot of nuance in AI. Regardless of any inference about the hidden proteins themselves (I-TASSER uses AI for the 3D modelling) or analysis on transcription efficiency and whatnot, the reverse ORFs *are there*.
That is to say, if no AI was used in this story, the finding still stands that astronomically unlikely hidden proteins exist in the mRNA jabs. What they look like and what they do is an open question but the AI modelling provides a glimpse.
According to FDA and WHO guidelines, All ORFs need to be disclosed. Even unanticipated ORFs.
really great work Scoops.
Had a feeling since the beginning that there was something especially nasty hidden in that code. 😞 CRIMES AGAINST HUMANITY! All premeditated and planned. Abhorrent!
And that's why they launched a smearing campaign against Sputnik - which used a simple vector from previous safe vacs and thus could not be used to deliver this monstrosity.
Here's another way to calculate the likelihood that the Pfizer spike sequence would have zero reverse complements of stop codons in the translated frame (but it doesn't consider other frames).
In the Pfizer vaccine sequence posted at the NAalytics GitHub (which is the original and not bivalent vaccine), the segment that codes for the spike protein features 47 distinct codons:
$ curl https://github.com/NAalytics/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273/raw/refs/heads/main/Figure1Figure2_032321.fasta |seqkit grep -nrp Pfizer>pfizerspike.fa
$ seqkit subseq -r 55:3879 pfizerspike.fa|seqkit seq -s|grep -o ...|sort|uniq -c|sort|wc -l
47
So if the codon optimization procedure ends up choosing 47 codons out of 61 non-stop codons, what are the odds that none of the 3 reverse complements of stop codons are included among the 47 codons? It's about 1.0%: ((61 - 3) over 47) divided by (61 over 47).
The Wuhan-Hu-1 spike makes use of 59 out of 61 non-stop codons, so the number of used codons is considerably reduced by the codon optimization:
$ curl 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=protein&rettype=fasta_cds_na&id=YP_009724390.1' >spike.na
$ seqkit subseq -r 1:-4 spike.na|seqkit seq -s|grep -o ...|sort|uniq -c|sort|wc -l
59
---
However my calculation doesn't consider that the codon optimization might preferentially choose GC-rich codons, but the reverse complements of stop codons are TTA, CTA, and TCA, which all have less GC bases than alternative codons for the same amino acid.
TTA codes for leucine but it's the least GC-rich out of 6 codons for leucine, because 3 other codons have 1 GC base and 2 other codons have 2 GC bases. CTA also codes for leucine but it's one of the 3 codons with 1 GC base.
There's 6 codons for serine, out of which 3 have 2 GC bases and 3 have 1 GC base, but TCA is one of the codons with 1 GC base.
Paul is dead.
If this is intentional then what is the benefit to be gained from reverse spikes?
Where did you get your Pfizer reverse ORF sequence? When I searched for it at UniProt BLAST, there were 33 results which didn't even include the spidroin protein: uniprot.org/blast.
It also didn't match the reverse ORF I extracted myself here: sars2.net/scripts.html#Search_for_ORFs_on_reverse_strand_in_SARS2_and_Pfizer_vaccine_contigs. The best matches had less than 50% identity over a length of less than 70 bases.
This should extract the correct reverse ORF:
$ curl https://github.com/NAalytics/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273/raw/refs/heads/main/Figure1Figure2_032321.fasta |seqkit grep -nrp Pfizer>pfizerspike.fa
$ r=$(seqkit seq -rp pfizerspike.fa|seqkit seq -s);for x in $r ${r:1} ${r:2};do sed 's/.../& /g'<<<$x|grep -Po '(ATG|CTG|TTG).*?(?=(TAA|TAG|TGA))'|tr -d \ ;done|awk '{print">"NR}1'|seqkit translate|seqkit sort -lr|seqkit head -n1|seqkit seq -s
LLRAWEVSGTSRGGEWGRWRWEHTWDPRSGETRGTQDGKGAASIACMQYQLESSCVVQFHALQHGLRIVLVELAAAATATTALQAATAAGHATQHDCDHHDGNQSGDKAQPDVPGPLDVLLVLPQFLQVDQALVQILGHLVQPVDLFLDVHDAGIDSADIAQVHVGACVVLKVLVQFLFEAVQLGLQRVVHGIVHNADHDVAVARHEGVVGGDDLGLVEVPLCHEPMGAVGHEHAFSRKVGFAVVADGWSGGEILLLSGHICHVQKHHAVRGRLREAHQVVALAAKVHSLALAQHTLRHLGGGQIGRGSNLGGSDQLLGHVCLEALQSACDQSVDLHLGLRRVQSAQDIVQHRADGAEVGGQLLDQGVQCLGILVDHVLQLSQGACCAAQAVLDLADGAVELVGDQLLVLVQHILGHSDAVEPVGHLHSKGDLQSGACSKCPAACDCAGQQGRCVLGDHLIGQQRRQHCQSVKLLGANQIPGGNVAQTIAILLDEAGVGQCHFVEQQVLDEAPLAGLARIGQNLAEIEAAEVLDRRGLVDLLHLGEHLLGVLVLFHGDPCQGSIQLGAEAAVLQQQVGALGGIAADVHGAVHAGLGHGHRQDLCGHADGEVGGDSDRVVGVGHAVLGAQRHCVGNDALAGHASGSPRAVCLCLVAGADSSADGDVALVAIVHVLGSDQTAGSGLKHIAAGGVHPPCRCQLIGVNGHGHFGTVHVLVQHCHLIAGVGARGDHRHSAEAARGDVQDFQCLGISNGVCGIGDIPAKLLEWQELLVALCQHAGAGQAVEVEVHAFVLHEIGAFLRAAHCGRGMQQFEAQHHHSVGLIAHAICGLKAVGLQWEVAVEAFHAVTRGAAGLIDLGGDVPLEGLQIGLPEQPVQVIVVAADFGVQVVAVPGNHTAGEVVGQLVVVVGDLACLSRGNLPHFISPDHEAVGVHVCEAQVVQLGRGHAVALEGAEAGGVVQHGVVGHAIADPLPVPGVHRGESGGIEHLAEGAQIGDIGEPHDGFGGLHPEVAGLVDALFHGEGLQGALCLAQRIQSTIHGVGDGAVLVVLQQEGSRLQVAHIVSGGTSCPSAAAIARCQVASVQGQQCLKPGDVDADGQIHQGFQSREALRQIPHEVDRGVLAVDLEVAVDVLKHELAQVLEVALLAFQVHQERLGHVLEGAVVGAAVHPELAFHPALVVLVVVDAQEGVVAELELAHFDDHVGGVVHDQQALGLAVQCGAEDPASDDVGLLGAGKVHPVVEGQHGVVESLGAIGAGHVDGVEPGHVAEERQEQVLGRVQHAGSEHLVGVVHASGKAVGVGWRQLCSGGQVHTLAGHQRQQHQEHEHGGGFSLSLWGPEEY
The first 97 aa of your Moderna reverse ORF are identical to the first 97 aa of McKernan's Pfizer reverse ORF here, and after that they're similar but not identical: https://anandamide.substack.com/p/spider-webs-in-the-pfizer-closet.
However the reverse ORF I got from this Moderna vaccine sequence was completely different from your Moderna reverse ORF:
$ curl https://github.com/NAalytics/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273/raw/refs/heads/main/Figure1Figure2_032321.fasta |seqkit grep -nrp Moderna>modernaspike.fa
$ r=$(seqkit seq -rp modernaspike.fa|seqkit seq -s);for x in $r ${r:1} ${r:2};do sed 's/.../& /g'<<<$x|grep -Po '(ATG|CTG|TTG).*?(?=(TAA|TAG|TGA))'|tr -d \ ;done|awk '{print">"NR}1'|seqkit sort -lr|seqkit head -n1|seqkit translate|seqkit seq -s
LGLVAGTDAGADGDVALVAVVHVLGADQATGPGLEHVAAGAVDPPGGCQLVGVDGHGHLGAVHVLVQHGHLVAGVGAWGDHAHAAEAARGDVQDLQGLGIPHSVGGVGDVPAELLKGQEFLVALGQHAGAGKAVEVEVHALVLHQVGALLGATHGGWGVQQLEAQHHHPVGLVAHAVGGLEAVALQREVAVEALHAVARGGAGLVDLGADVPLEGLQVALPEQPVQVVVVAAHLAVEVVAVPGDHAAGEVVGQLVVVVGDLACLAGCDLPHLVATDHEAVGVHVGEAQVVQLGGAHAVALEGAEAGAVVQHAVVGHAVADPLPVPGVHAGEPGGVEHLAEGAQVGDVGEPHDALGGLHPEVAGLVDALLHGEALQGALGLAQRVQGAVHGVGDGAVLVVLQQEGPGLQVAHVVSSRACCPPAAAVAWGQVAPVQGQQGLEPGDVDADGQVHQGLQG
ORFs need to begin with Methionine. I dont think that is on the reverse strand. There are also differences in the Bivalent vaccine that we sequenced versus the Published monovalent Moderna vaccine sequenced by Massa et al.
The Bivalent sequence is a consensus sequence between Wuhan1 and Omicron. This likely creates some confusion. This is the reverse ORF seen in our 6777bp Moderna sequence. MQYQLESSCVVQFHALQHGLRIVLVELAAAATATTALQAATAAGHATQHDCDHHDGNQSGDKAQPDVPGPLDVLLVLPQFLQVDQALVQILGHLVQPIDLLLDVHHAGVDAADVAQVHVGAGVILEVLVQLLLEAVQLGLQGIVHGVVHDADHHVAVAAHEGVVGGDDLGLVEVPLGHEPVGAVAHEHALPGKVGLAVVADGWGGGEVLLLGGHVGHVQEHHSVGCALGKAHQVVALAAEVHPLALAQHALAHLGGGQVGAGPNLGGPDQLLGHVGLQALQPASDQPVDLHLGLGRVQPAQDVVQHAADGAEVAAQLLHQGVQGLGVVVHHVLQLAQGASGAAQAVLDLADGAVELVGDQLLVLVQHVLGHADAVEPVGHLHGEGDLQSGSSAESPAAGDGSG
These are the reverse ORFs found in Massa and Fire as identified by SnapGene. MAKGICRAAPAPKVQPLVMVPANRALVYWAIISSVSRGGSTVRPLNFWAQIRSRAAMSPRQSPYCLMKPASARVTLLNSRSSMKLRLLGLLGSGRIWLKLKPPKSLMGGVL*
MVAAPGSYISSYSSFLSYFPFFLPPTQTLFKDHGGTGAGRGGGAGGRPKGQEARPPRLQPIIRCSAASRPSARARCRPRRTCSSCRSCNSPSGSCSSWSCSTA*
MSFSTLLMAPKLLLSCFTRVFRAWAFWFTTSCSLPRALAVLLRLSWILPMALLNWLAISFWFSYSTFWVTPMPLNR*
MQHSMMVTITMAIRPAMKPSQMYQGHLMYCSYLPSSCRSIRLSFRFLATSFSRSISFWMFTTLALMPLMSPRSTSGLV*
Yeah I wasn't sure if I should include only ATG or also the alternative start codons. But if I included only ATG then my longest reverse ORF for Moderna was identical to your first ORF by Massa and Fire:
$ curl https://github.com/NAalytics/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273/raw/refs/heads/main/Figure1Figure2_032321.fasta |seqkit grep -nrp Moderna>modernaspike.fa
$ r=$(seqkit seq -rp modernaspike.fa|seqkit seq -s);for x in $r ${r:1} ${r:2};do sed 's/.../& /g'<<<$x|grep -Po 'ATG.*?(?=(TAA|TAG|TGA))'|tr -d \ ;done|awk '{print">"NR}1'|seqkit sort -lr|seqkit head -n1|seqkit translate|seqkit seq -s
MAKGICRAAPAPKVQPLVMVPANRALVYWAIISSVSRGGSTVRPLNFWAQIRSRAAMSPRQSPYCLMKPASARVTLLNSRSSMKLRLLGLLGSGRIWLKLKPPKSLMGGVL
At this stage, we are in the twilight zone.
It's like the more info comes out about these awful products, the more it seems humanity goes into a catatonic state. Have we collectively lost our minds. It's hight time we run the perpetrators out of town.
https://ijvtpr.com/index.php/IJVTPR/article/view/36/295
AI enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making. Discussing aberrant proteins with AI (as a tool) to learn should not be discount. It’s a tool to be used and mastered. It helps in understanding ORF.
This is also able to be computational. Is this true? Some of us have an artificial intelligence chat bot attempting to speak inside our heads and we have our nerves pulled like puppets to make us move. Has anyone else been reporting this to you?
PLEASE, watch this.... this is how we take down the beast....... https://www.twitch.tv/videos/2278395477
Given the tendency for ChatGPT to be wrong, even on very basic things (see: https://thedailybeagle.substack.com/p/breaking-the-illusion-of-chatgpt for proof), I cannot endorse any article that makes use of it, because it implies a lack of due diligence in research, and it *cannot* be trusted. I have withdrawn my like and share upon seeing it, which is a shame, because the topic itself is critical.
I recommend playing with LLMs yourself to see how reliable/unreliable they can be, in which contexts, models etc. There's a lot of nuance in AI. Regardless of any inference about the hidden proteins themselves (I-TASSER uses AI for the 3D modelling) or analysis on transcription efficiency and whatnot, the reverse ORFs *are there*.
That is to say, if no AI was used in this story, the finding still stands that astronomically unlikely hidden proteins exist in the mRNA jabs. What they look like and what they do is an open question but the AI modelling provides a glimpse.
At a minimum more research needs to be done at least in a world where scientist actually care about people over profits.