A7GU64 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidrmjyr26njq4dugk3tgzfsjkn5rl7xmrj4fzinhklyn3uicxb7n4/metadata.json
IPFS of structure file: 
bafybeicpx2h4ikcgfyfzdltextbnrlvfsgpslwoxymgswvwz7gyi3ti3ey/AF-A7GU64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #532188 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532188
Accession (UniProt):
A7GU64
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cytotoxicus (strain DSM 22905 / CIP 110041 / 391-98 / NVH 391-98)

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 A7GU64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7GU64|YIDD_BACCN Putative membrane protein insertion efficiency factor OS=Bacillus cytotoxicus (strain DSM 22905 / CIP 110041 / 391-98 / NVH 391-98) OX=315749 GN=Bcer98_3462 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQTHGALKGFWLTLKRILKCHPFHPGGFDPVPDKKDDK