Q663S8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibehxcfmml5reeumcwuakmccr7xe7f7rrxh52dm3ak4pggehci3b4/metadata.json
IPFS of structure file: 
bafybeieuxl44lfkv4si24d3hayp4nof2e3xu2lxkyd6f4uf4iabiwnddsm/AF-Q663S8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d1188D30c5f312851Bc3459adef3C74f39a2A61
First NFT owner address (bech32): 
genesis1f5gc35cvtucjs5dux3v6mmeuwnee52nps8gd9c
Current NFT ID #532656 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532656
Accession (UniProt):
Q663S8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q663S8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q663S8|YIDD_YERPS Putative membrane protein insertion efficiency factor OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=YPTB3947 PE=3 SV=1 MASPLSPGSRILIGLIRGYQLVISPLLGPRCRFHPTCSHYGIEALRRFGMIKGSWLTLKRVLKCHPLNSGGDDPVPPKLDDNREH