Q5KVY7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhmgbl4xzndl7nyzo72kewsjuiekrf5nxopbtuurxojyxnwjoff4/metadata.json
IPFS of structure file: 
bafybeiffbjmq2uxdk3j3wfwk2bqkw73vackde4tnur6uko2jgw4uj3ijmm/AF-Q5KVY7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x02e4511DcA19C2A9E14DEC1A5d50448Afe1cD0B3
First NFT owner address (bech32): 
genesis1qtj9z8w2r8p2nc2dasd965zy3tlpe59n7mezse
Current NFT ID #532348 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532348
Accession (UniProt):
Q5KVY7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS KAUSTOPHILUS (STRAIN HTA426)

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 Q5KVY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5KVY7|YIDD_GEOKA Putative membrane protein insertion efficiency factor OS=Geobacillus kaustophilus (strain HTA426) OX=235909 GN=GK2864 PE=3 SV=1 MGQWLIWCIRFYQRFLSPLKPPTCRFYPTCSNYGIEAIRRFGAIKGGWLTAKRILKCHPFHPGGFDPVPESSEHAKRNKIT