Q602M7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdmermg7bugrh6norirbif7jjbqi2i5ldyq6fk7kdiuvgtjyk7ae/metadata.json
IPFS of structure file: 
bafybeifrxm5haclgbo3sltsoiihea2lcepiabsu4lhv3nb4auy6p7xsndm/AF-Q602M7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3F9EF9F4FB9Ac96d7048EC06e2DF30B39c0afc1
First NFT owner address (bech32): 
genesis1k0u7l860hxkfd4cy3mqxut0npvuupt7pcx6we0
Current NFT ID #532413 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532413
Accession (UniProt):
Q602M7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
METHYLOCOCCUS CAPSULATUS (STRAIN ATCC 33009 / NCIMB 11132 / BATH)

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 Q602M7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q602M7|YIDD_METCA Putative membrane protein insertion efficiency factor OS=Methylococcus capsulatus (strain ATCC 33009 / NCIMB 11132 / Bath) OX=243233 GN=MCA3036 PE=3 SV=1 MQRLLITLIRLYQYLLSPWLGHHCRFFPTCSNYAMDAIGRFGAMRGAYLTIRRLMRCHPWHPGGIDPVPEKLGKQ