Q11VN3 AF NFT

Urease subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiftalkdpcfk3w5pwgngu2ls65jwwdhqgcsjbrc6pfjrzcpz6btndu/metadata.json
IPFS of structure file: 
bafybeiaoe7bqgkzspakelmf7eebuoym55lssnhzez44nnh6bvyx4fl6cl4/AF-Q11VN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16633532dE8F3b41E31C55a2AB62808E315CeDCC
First NFT owner address (bech32): 
genesis1ze3n2vk73ua5rccu2k32kc5q3cc4emwvxrx2ph
Current NFT ID #490528 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
490528
Accession (UniProt):
Q11VN3
Name::
Urease subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Cytophaga hutchinsonii (strain ATCC 33406 / DSM 1761 / CIP 103989 / NBRC 15051 / NCIMB 9469 / D465)

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 Q11VN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q11VN3|URE1_CYTH3 Urease subunit alpha OS=Cytophaga hutchinsonii (strain ATCC 33406 / DSM 1761 / CIP 103989 / NBRC 15051 / NCIMB 9469 / D465) OX=269798 GN=ureC PE=3 SV=1 MSYILSRKSYADMFGVTTGDKITLGDTNLLVRVEKDLTVYGEECKFGGGKVLRDGMGQASGYKSDDVLDLLITNALIIDYTGIYKADIGIKNGHIKAIGKSGNPHIMPGVHPDMIAGTVTEVIAGEGMIITAGGIDNHIHYICPQQMNEALASGITTFIGGGTGPATGTKATTCTPGAFHIEMMLKATDNIPMNIGFLGKGNTSHPEEIEEQIKAGALGLKLHEDWGTTPAAIDNCLSVAEKYDVQVCIHTDTLNESGFVESSRAAFKGRTIHTYHTEGAGGGHAPDIIVLCGDPDVLPSSTNPTKPFTVNTIDEHLDMLMVCHHLDRNIPEDVSFAESRIRGETIAAEDILHDMGALSMLSSDSQAMGRVGEVICRTWQTAHKMKEQRGLLEEDKQIDADNFRVKRYIAKYTINPAIAHGCSHVIGSVEVGKLADLVVWQPDFFGSRPELILKGGVIVQAQMGDPNASIPTPQPFFSRPMFGAMGKATGATSLAFVSAASEETVNGYGLNKKVTPVVGCRSVKKKDMKLNDFLPDIKVDAETYKVTVNGEWITCAPAKKLPLAQLYNLF