A7Z801 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia2mdsz6yqsdjcpu26uzia4i5x64panv4acd2lkabbbuf2ungoheq/metadata.json
IPFS of structure file: 
bafybeibpkuklznklodoo3p3f65nllqyabhkroqfrbpzhzguev6mrilyypq/AF-A7Z801-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4351fbBA2D1ce306FC22A21df5a9787370D5053a
First NFT owner address (bech32): 
genesis1gdglhw3drn3sdlpz5gwlt2tcwdcd2pf654h0kd
Current NFT ID #532199 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532199
Accession (UniProt):
A7Z801
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z801 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z801|YIDD_BACVZ Putative membrane protein insertion efficiency factor OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=RBAM_027690 PE=3 SV=1 MKTIMIAFIRGYQKFISPLTPPSCRFYPTCSQYGIEAVKTHGALKGGWLTLKRILKCHPFHPGGVDPVPDKKQKH