B1VPE7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidlzj5radeiv4v5vc7luasg75ta227tc3uflngyo4wqlawq5sadwi/metadata.json
IPFS of structure file: 
bafybeiga5vatyjc6slkktny4ts26ip7ddkqpcdolh6ovwtztkyxjvlcyfu/AF-B1VPE7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f0d51eda5E84Bb14cC2174Ca1F98fBDd28F758C
First NFT owner address (bech32): 
genesis1tux4rmd9ap9mznxzzax2r7v0hhfg7avv4q8zf4
Current NFT ID #532577 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532577
Accession (UniProt):
B1VPE7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Streptomyces griseus subsp. griseus (strain JCM 4626 / NBRC 13350)

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 B1VPE7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1VPE7|YIDD_STRGG Putative membrane protein insertion efficiency factor OS=Streptomyces griseus subsp. griseus (strain JCM 4626 / NBRC 13350) OX=455632 GN=SGR_3697 PE=3 SV=1 MKYPLLALIKLYQWTISPLLGPVCRYYPSCSHYGYTSIDRHGAIKGTALTAWRILRCNPWSPGGVDHVPPRKRPRWHELLRNALRGEKGGESAADVPSGGSVSEPPGPAAETSPNAQGA