A7X3N8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia2aur6rehw7dcj7dur7omm4chptkal5ckoi66oyw2kjo5gejxace/metadata.json
IPFS of structure file: 
bafybeihq6jjf2odzw4zuuj2nyepllkkohk2yjxhdp7trz6tspmy3tocqqm/AF-A7X3N8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #532553 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532553
Accession (UniProt):
A7X3N8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MU3 / ATCC 700698)

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 A7X3N8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7X3N8|YIDD_STAA1 Putative membrane protein insertion efficiency factor OS=Staphylococcus aureus (strain Mu3 / ATCC 700698) OX=418127 GN=SAHV_1780 PE=3 SV=1 MKKIFLAMIHFYQRFISPLTPPTCRFYPTCSEYTREAIQYHGAFKGLYLGIRRILKCHPLHKGGFDPVPLKKDKSASKHSHKHNH