P69967 AF NFT

Protein TyeA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigunnw3cb7f4adf6x5mnsns7mhdm7cxlnbt4by7wni5a6wo3btqpq/metadata.json
IPFS of structure file: 
bafybeifusbti33e6vhq7xahznuzlthopzq4tjx3y2tybeqji33euo4taga/AF-P69967-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2C462b08b6B02959D3d24f24ad3028c32AB8581A
First NFT owner address (bech32): 
genesis193rzkz9kkq54n57jfuj26vpgcv4tskq6axrlkg
Current NFT ID #483852 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
483852
Accession (UniProt):
P69967
Name::
Protein TyeA
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA

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 P69967 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P69967|TYEA_YEREN Protein TyeA OS=Yersinia enterocolitica OX=630 GN=tyeA PE=3 SV=1 MAYDLSEFMGDIVALVDKRWAGIHDIEHLANAFSLPTPEIKVRFYQDLKRMFRLFPLGVFSDEEQRQNLLQMCQNAIDMAIESEEEELSELD