P20861 AF NFT

Protein FanG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpk4uhfjaejc52d6scf4likwlxegsbw5afzjguu7n52djawunk6y/metadata.json
IPFS of structure file: 
bafybeidnecwk4krqbzlnrvayslckoo7nt32ln7ictcbxgofztyzlrdkqva/AF-P20861-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x976760e64f70E9f04f69B77B1d3c519B728e5a66
First NFT owner address (bech32): 
genesis1jankpej0wr5lqnmfkaa360z3ndeguknx6pzlh5
Current NFT ID #126584 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
126584
Accession (UniProt):
P20861
Name::
Protein FanG
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI

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 P20861 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P20861|FANG_ECOLX Protein FanG OS=Escherichia coli OX=562 GN=fanG PE=4 SV=1 MKKLYKAITVICILMSNLQSAQGATKSVQVPIRTEVKIPTCQLEIDSSIDFSFVKIEDIISSRATSKEANLNFRCDAHVDNVRIMFVPGSNRTSSDKRVMHSGTTGLGYSLQWSRASSGYSDIGFNTQYQWSDSDAYQNLLSGKLRLKPVSFPGESLSKEGKVSSTINIEVTYD