B9LIC8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7vt5pzacvvbc3k7nno6l6t4clowyqcafk54cejsjwc66ts43spa/metadata.json
IPFS of structure file: 
bafybeie3ccggkjqpxhwwffcs5g5tycifdqnul3x5wvgemhsfw3uux5pg5a/AF-B9LIC8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #532268 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532268
Accession (UniProt):
B9LIC8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Chloroflexus aurantiacus (strain ATCC 29364 / DSM 637 / Y-400-fl)

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 B9LIC8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9LIC8|YIDD_CHLSY Putative membrane protein insertion efficiency factor OS=Chloroflexus aurantiacus (strain ATCC 29364 / DSM 637 / Y-400-fl) OX=480224 GN=Chy400_0424 PE=3 SV=1 MLRWLLLKLIRFYQVAISPWTPPSCIYTPTCSHYGYEAIKKYGALRGGWMTVKRIARCHPFARGGYDPVP