Q1AR60 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyo5endh4egcfy4vqnmqxq3towol2wf7ascpzy6eqa6lohdvxt7y/metadata.json
IPFS of structure file: 
bafybeihir346a7icwyhwfgmndhnlfcxipkqtzz7jbbgwynuecwk46i35d4/AF-Q1AR60-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #532514 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532514
Accession (UniProt):
Q1AR60
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Rubrobacter xylanophilus (strain DSM 9941 / NBRC 16129 / PRD-1)

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 Q1AR60 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1AR60|YIDD_RUBXD Putative membrane protein insertion efficiency factor OS=Rubrobacter xylanophilus (strain DSM 9941 / NBRC 16129 / PRD-1) OX=266117 GN=Rxyl_3214 PE=3 SV=1 MAGRLVILVLRAYQRFVSPLFPPSCRFTPSCSQYAVEAVERYGPLKGGAMAAWRVLRCHPFSRGGVDPVR