Q0I0Z0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieltn2fofqqbuzavca5apjkeusenpfadir3e5jnqcm36u2gjnutam/metadata.json
IPFS of structure file: 
bafybeifdkwupuheka7y5bvl2laff4dhte6kvgnaucloodnobft3tg5yt6y/AF-Q0I0Z0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4a9eD2eAf8d72EFA9810BAb10Ec13711141c1541
First NFT owner address (bech32): 
genesis1f20d96hc6uh04xqsh2csasfhzy2pc92pqha66s
Current NFT ID #532359 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532359
Accession (UniProt):
Q0I0Z0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Haemophilus somnus (strain 129Pt)

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 Q0I0Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0I0Z0|YIDD_HAES1 Putative membrane protein insertion efficiency factor OS=Haemophilus somnus (strain 129Pt) OX=205914 GN=HS_0134 PE=3 SV=1 METSHSFGAKVLIGAIRIYQLMISPLIGPRCRFVPTCSCYGIQAVKTHGVVKGSWLTVKRILKCHPFNVGGYDPVPPKINNNKENE