B0CE09 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7pqijlfr66erqt2cmdm7pieb5arhg4alfq3mqss76hszrokw22i/metadata.json
IPFS of structure file: 
bafybeiehf4rv6imgenzkcm3zdbe4m5hwkpx4a2yrq3u25vgbfuw3ahuqre/AF-B0CE09-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2760719Aaa7Aed839E71Ab4F25aCEafbAA8ceB27
First NFT owner address (bech32): 
genesis1yas8rx420tkc88n34d8jtt82lw4ge6e8g2e9dz
Current NFT ID #493188 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493188
Accession (UniProt):
B0CE09
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
Acaryochloris marina (strain MBIC 11017)

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 B0CE09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0CE09|UVRB_ACAM1 UvrABC system protein B OS=Acaryochloris marina (strain MBIC 11017) OX=329726 GN=uvrB PE=3 SV=1 MTAFDLHAPFVPKGDQPQAIEKLTTHLQSGHSRQTLLGATGTGKTFTMAKVIEEIGKPTLILAHNKTLAAQLCNEIRSFFPNNAVEYFISYYDYYQPEAYIPVTDTFIEKTASINEEIDMLRHSATRSLFERQDVIVVASISCIYGLGIPAEYLKASIPLKVGAEVDQRQLLRNLAAVQYTRNDVDLGRGRFRVKGDVLEIGPAYEDRIIRVEFFGDEIDAIRYVDPVTGETLQSLEGLNVYPARHFVTPTERLEMAVEAIDAERTAQVEHLEGAGKLLEAQRLNQRTRYDLEMLREVGYCNGVENYSRHLAGRQAGEPPECLVDYFPKDWLLIVDESHVTVPQIRGMYNGDQARKKVLIDHGFRLPSAADNRPLKSEEFWQKVGQCVFVSATPGLWEIELSENRVVEQVIRPTGVVDPEIFVRPTTGQVDDLLAEIQERVGRQERTLITTLTKRMAEDLTEYFEERGVRVRYLHSEINAIQRIEILRDLREGVFDVLIGVNLLREGLDLPEVSLVAILDADKEGFLRAERSLIQTIGRAARHVRGQAILYADNLTDSMEKAISETERRRKIQLAYNKKHGITPQPVKKGSDNAILAFLEVSRRLNTQELEDAYEQADDLPLESVPELITQLEAQMKEAAKNLEFEEAAKYRDRIKNLRSKLLGQQSP