Q0HD63 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdacz7s2szz6us3izsi7bt36e5nb4keoqws6yd2u25m6mdhoeocm/metadata.json
IPFS of structure file: 
bafybeia7wds52cf2paju5k7acvpujzyutcwzcrltsxuoew6kujtjbtyo3m/AF-Q0HD63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #532542 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532542
Accession (UniProt):
Q0HD63
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-4)

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 Q0HD63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HD63|YIDD_SHESM Putative membrane protein insertion efficiency factor OS=Shewanella sp. (strain MR-4) OX=60480 GN=Shewmr4_3941 PE=3 SV=1 MAQTQSPLQWLATTFIRGYQIFISPLLGPRCRFNPTCSHYAIEAIKVHGTAKGCWFALKRILKCHPLHPGGSDPVPPKNDRCNK