Q7W0R9 DNA-directed RNA polymerase subunit beta MolNFT, Molecular NFT on GenesisL1

DNA-directed RNA polymerase subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifodlu5x2uz35px76egfaqu6fq2yn7pgmjfvnc6d257kmlbpqsoei/metadata.json

IPFS of structure file:

bafybeicu7ae2pnajym4vihrxz2audcyg36xqxakjt2pukek7roah45mj3m/AF-Q7W0R9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xE2e7aE2D5d6d88622B66a6Ed3Db927F2F71b3d50

First NFT owner address (bech32):

genesis1utn6ut2adkyxy2mx5mknmwf87tm3k02spn8kxn

Current NFT ID #387062 owner (web3):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
387062
Accession (UniProt):
Q7W0R9
Name::
DNA-directed RNA polymerase subunit beta
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q7W0R9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W0R9|RPOB_BORPE DNA-directed RNA polymerase subunit beta OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=rpoB PE=3 SV=1 MPYSYTEKKRIRKSFAKREDVQNVPFLLATQLQSYLTFLQADTATSDRVNEGLQAAFSSIFPIVSHNGMARLEFVSYALGEPVFDVKECQQRGLTYASPLRAKVRLVLLDREVSKPTIKEVKEQEVYMGEIPLMTGTGSFVINGTERVIVSQLHRSPGVFFEHDRGKTHSSGKLLFSARVIPYRGSWLDFEFDPKDVLFFRVDRRRKMPVTILLKAIGMTPESILAHFFDFDNFELKSEGGMMEFVAERWKGEMARFDIADRDGKVIVEKDKRINAKHLRDLAAGGIQRVSVPEDFLYGRVLAKNIVDPDTGEVVAHANDEITESVLNAMRAANVRDIQTLYTNDLDRGPYISQTLRADETADQMAARVAIYRMMRPGEPPTEEAVEALFQRLFYSEETYDLSRVGRMKVNSRLGRGDDSTGPMTLTNEDILETIKVLVELRNGRGQIDDIDHLGNRRVRCVGELAENQFRAGLVRVERAVKERLGQAETENLMPHDLINSKPISAAIKEFFGSSQLSQFMDQTNPLSEITHKRRVSALGPGGLTRERAGFEVRDVHPTHYGRVCPIETPEGPNIGLINSMALYARLNEYGFLETPYRKIIDGKVSDQIDYLSAIEESHYVIAQANAALDDEGRFVDDLVACREAGETMLTAPGNVHYMDVAPSQIVSVAASLIPFLEHDDANRALMGANMQRQAVPCLRPEKPLVGTGVERTVAVDSGTTVQALRGGVVDHVDADRVVIRVNDEENVAGEVGVDIYNLIKYTRSNQNTNINQRPIVARGDKVAKGDVLADGASTDLGELALGQNMLIAFMPWNGYNFEDSILISERVVADDRYTSIHIEELTVVARDTKLGPEEITRDISNLAETQLNRLDDSGIVYIGAEVSADDVLVGKVTPKGETQLTPEEKLLRAIFGEKASDVKDTSLRVPSGMTGTVIDVQVFTREGIVRDKRAQSIIDDELRRYRQDLNDQLRIVENDQFDRIEKMLVGKTVNGGPRKLAKGATLTKAYLADLDRWQWFDIRLADEQHAVVLEQAKESLEQKRHQFDLAFEEKRKKLTQGDELPPGVLKMIKVYLAVKRRLQPGDKMAGRHGNKGVVSRITPVEDMPHMADGTPADIVLNPLGVPSRMNVGQVLEVHLGWAAKGVGYRIADMLRDERTAQAKSVRGYLEKVYNTTGSSAHIDSLTDEEVLELANNLKKGVPFATPVFDGATEEEIGKMLELAYPDDVAARMRLTASRSQAWLYDGRTGEQFERPVTIGYMHYLKLHHLVDDKMHARSTGPYSLVTQQPLGGKAQFGGQRFGEMEVWALEAYGASYTLQEMLTVKSDDITGRTKVYENIVKGDHVIDAGMPESFNVLVKEIRSLALDMDLERN

Q7W0R9 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q7W0R9 research and analysis (ICN3D with VR)

FASTA sequences

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