A7FMC2 AF NFT

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6m6abp7ivnqluepqdxtabjo4uswa5zek34hytagdjid42urkxgq/metadata.json
IPFS of structure file: 
bafybeibtyswjpsgoj5mlx3yueot6ovqtoyx3uwvag4pe6fbijphncqsqba/AF-A7FMC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x767E841c23C1fCf898B47f3029614c98232Bf0FC
First NFT owner address (bech32): 
genesis1welgg8prc8703x950uczjc2vnq3jhu8ug45tqq
Current NFT ID #17653 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
17653
Accession (UniProt):
A7FMC2
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
Yersinia pseudotuberculosis serotype O:1b (strain IP 31758)

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 A7FMC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7FMC2|APAG_YERP3 Protein ApaG OS=Yersinia pseudotuberculosis serotype O:1b (strain IP 31758) OX=349747 GN=apaG PE=3 SV=1 MIEQPRICVQVQSIYVETQSIPEEERFVFAYTVTVRNLGRSNVQLLGRYWLITNSNGRQTEVQGEGVIGEQPLILPGNEFQYTSGAVLETPLGTMEGHYEMIDHLGQAFRTVIPVFRLAIPALIH