C0QIZ2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif37ugwpkiejyovfntbirrczaewa2ip3pcepq7sxsxon3uf5ihtri/metadata.json
IPFS of structure file: 
bafybeicxh7zwaswmyz2z4v3ncjkmnfiuumugac7s4bhcjzjsuqxo2dc2ra/AF-C0QIZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #532311 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532311
Accession (UniProt):
C0QIZ2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Desulforapulum autotrophicum (strain ATCC 43914 / DSM 3382 / VKM B-1955 / HRM2)

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 C0QIZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0QIZ2|YIDD_DESAH Putative membrane protein insertion efficiency factor OS=Desulforapulum autotrophicum (strain ATCC 43914 / DSM 3382 / VKM B-1955 / HRM2) OX=177437 GN=HRM2_06680 PE=3 SV=1 MVKRSILLLIKVYQYFISPLTGPTCRFYPTCSQYAFEAVMIHGSLKGSCLAVRRILKCHPFHPGGYDPVP