Q9KTN0 AF NFT

UPF0253 protein VC_0872

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeier4lq4lpy76au6sv5y7yusvtcrnsb7bt4vhhujodeb3x5rhql4ym/metadata.json
IPFS of structure file: 
bafybeicevbnoq3bbhjkqaikeoh3xxlxaammzlzdlkhijy46nmj5mujbjri/AF-Q9KTN0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1e3895C6800c841C8828D11781a5f3Db2d1F9740
First NFT owner address (bech32): 
genesis1rcuft35qpjzpezpg6ytcrf0nmvk3l96qcy4d9z
Current NFT ID #522396 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
522396
Accession (UniProt):
Q9KTN0
Name::
UPF0253 protein VC_0872
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KTN0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KTN0|Y872_VIBCH UPF0253 protein VC_0872 OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=VC_0872 PE=3 SV=1 MKVYDCCELVRELYAQIGSGDQGYIPQAISCAVRALNEIAADTALPLAAREKAAFAAANLLISDFED