Q72VY9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiancl4nbwbu4pvrdyuom22uk6cxyr2t5ztqymea37a46blhe6sdqu/metadata.json
IPFS of structure file: 
bafybeid4lzjx2v567ezyyzjrusts5t7co6zhs7aldh5opym3gjvwrbcef4/AF-Q72VY9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #532396 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532396
Accession (UniProt):
Q72VY9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
LEPTOSPIRA INTERROGANS SEROGROUP ICTEROHAEMORRHAGIAE SEROVAR COPENHAGENI (STRAIN FIOCRUZ L1-130)

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 Q72VY9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72VY9|YIDD_LEPIC Putative membrane protein insertion efficiency factor OS=Leptospira interrogans serogroup Icterohaemorrhagiae serovar copenhageni (strain Fiocruz L1-130) OX=267671 GN=LIC_10156 PE=3 SV=1 MNRFVIQLIQLYKRLLSPLLPPACRFTPTCSEYAAQAFQEYGFFRALQLSIWRILRCNPLSRGFDDPLPPNTKG