A7GJP2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibnpxmzxrcp3yvou3yiu5teyd5q62u3yxtej3hgq6aukzmzoj7bqe/metadata.json
IPFS of structure file: 
bafybeihx7cmx3jqihwn6ms56pmza66s2grb2lonx6hdsuqyiqody6b7nnm/AF-A7GJP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3aFd2E734A81A7F74B5E57D5823327c30169f279
First NFT owner address (bech32): 
genesis18t7juu62sxnlwj672l2cyve8cvqknunep84c7m
Current NFT ID #532285 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532285
Accession (UniProt):
A7GJP2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Clostridium botulinum (strain Langeland / NCTC 10281 / Type F)

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 A7GJP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7GJP2|YIDD_CLOBL Putative membrane protein insertion efficiency factor OS=Clostridium botulinum (strain Langeland / NCTC 10281 / Type F) OX=441772 GN=CLI_3891 PE=3 SV=1 MKNLLICIIKMYRKYISPLKRPSCRFYPTCSQYSLEAIEKYGALKGTLISIKRILKCHPFNEGGYDPVK