Q89IV9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiga63mcvsj5fme2ncdmz2l3mtgiuw5xmyvyf33fwikdv33wt6onii/metadata.json
IPFS of structure file: 
bafybeid6a6qk7z7bykdq5stukctrmm3p524gvkjhs3uouovfns62atjcfm/AF-Q89IV9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #532215 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532215
Accession (UniProt):
Q89IV9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BRADYRHIZOBIUM DIAZOEFFICIENS (STRAIN JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110)

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 Q89IV9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89IV9|YIDD_BRADU Putative membrane protein insertion efficiency factor OS=Bradyrhizobium diazoefficiens (strain JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110) OX=224911 GN=blr5525 PE=3 SV=1 MKHSACEHCSTPVEGALRLPRRFGRALIWLYRHTLSPLVGYNCRHLPTCSVYGDEAIERFGLWAGGWMTLARLLRCNPFGTSGIDNVPLAAPQDARWYLPWRYGRWRGVNAP