P0A4K7 AF NFT

Tetracycline resistance protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifhxa4hpn6doi2mtrkayn3agpmkqj3y4j4wlvae2s3bqgroz6czei/metadata.json
IPFS of structure file: 
bafybeidr47u6mmh3f6c5o4cl5gtngn3yqm5qryoyycuqkl2vrknbl6ddea/AF-P0A4K7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x08eBD9dAF5f7D0e61018f2c1eBbbB473Df70042f
First NFT owner address (bech32): 
genesis1pr4ankh47lgwvyqc7tq7hwa5w00hqpp0x6dtwx
Current NFT ID #460191 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
460191
Accession (UniProt):
P0A4K7
Name::
Tetracycline resistance protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS

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 P0A4K7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A4K7|TCR_BACCE Tetracycline resistance protein OS=Bacillus cereus OX=1396 GN=tet PE=3 SV=1 MNTSYSQSNLRHNQILIWLCILSFFSVLNEMVLNVSLPDIANDFNKPPASTNWVNTAFMLTFSIGTAVYGKLSDQLGIKRLLLFGIIINCFGSVIGFVGHSFFSLLIMARFIQGAGAAAFPALVMVVVARYIPKENRGKAFGLIGSIVAMGEGVGPAIGGMIAHYIHWSYLLLIPMITIITVPFLMKLLKKEVRIKGHFDIKGIILMSVGIVFFMLFTTSYSISFLIVSVLSFLIFVKHIRKVTDPFVDPGLGKNIPFMIGVLCGGIIFGTVAGFVSMVPYMMKDVHQLSTAEIGSVIIFPGTMSVIIFGYIGGILVDRRGPLYVLNIGVTFLSVSFLTASFLLETTSWFMTIIIVFVLGGLSFTKTVISTIVSSSLKQQEAGAGMSLLNFTSFLSEGTGIAIVGGLLSIPLLDQRLLPMEVDQSTYLYSNLLLLFSGIIVISWLVTLNVYKHSQRDF