Q3J1A1 AF NFT

Protein PufQ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4ibp4iov7ov5pqa2fqkufp45fjjhjloo33jtzk3h5ome25jcwwa/metadata.json
IPFS of structure file: 
bafybeicca6ori3i5ktujcbc7yrnhzckc4koega6sp34m33r4xzfu5jzboi/AF-Q3J1A1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x05Dc5F64ec3DDC2CEdF9ba8CD7b6b5056bB42D27
First NFT owner address (bech32): 
genesis1qhw97e8v8hwzem0eh2xd0d44q44mgtf8gcatnn
Current NFT ID #320248 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
320248
Accession (UniProt):
Q3J1A1
Name::
Protein PufQ
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q3J1A1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3J1A1|PUFQ_CERS4 Protein PufQ OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=pufQ PE=3 SV=1 MSDHAVNTPVHAARAHGHRAPRAEFYVYFAVILLGAFPVAFVSWIVSTIRHRRLPKRGPFASAWFDAKAITPLIFRA