A5ITW0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic77dcbkjmndb6gh3ageove3jtqp4etmjhibbvwv4p2fb4upmxnjq/metadata.json
IPFS of structure file: 
bafybeihfk7u7gn5s32maaaym3m4knu44qzl7votim2nddam2hk522pl3xm/AF-A5ITW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Dff1DBB225A3491870Fd31Ec92D348E5c96AE0b
First NFT owner address (bech32): 
genesis1fhl3mweztg6frpc06v0vjtf53ewfdtstk75r6j
Current NFT ID #532557 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532557
Accession (UniProt):
A5ITW0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Staphylococcus aureus (strain JH9)

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 A5ITW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5ITW0|YIDD_STAA9 Putative membrane protein insertion efficiency factor OS=Staphylococcus aureus (strain JH9) OX=359786 GN=SaurJH9_1845 PE=3 SV=1 MKKIFLAMIHFYQRFISPLTPPTCRFYPTCSEYTREAIQYHGAFKGLYLGIRRILKCHPLHKGGFDPVPLKKDKSASKHSHKHNH