B1KQ66 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2nfuii7qkjve6il5p5tsuqsicetoqak6caa5wcwxwjbfr3bo6la/metadata.json
IPFS of structure file: 
bafybeihtk2qpjk7vynhsxnavj5wq3alllrpmhj7nwiolbwpuh2zo5iym74/AF-B1KQ66-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x31C2b8Dda9af930b8C9df8eCc4E387b89CF5fc9A
First NFT owner address (bech32): 
genesis1x8pt3hdf47fshryalrkvfcu8hzw0tly6zdtfjr
Current NFT ID #532545 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532545
Accession (UniProt):
B1KQ66
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella woodyi (strain ATCC 51908 / MS32)

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 B1KQ66 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1KQ66|YIDD_SHEWM Putative membrane protein insertion efficiency factor OS=Shewanella woodyi (strain ATCC 51908 / MS32) OX=392500 GN=Swoo_4930 PE=3 SV=1 MAKTQSPLQWLATTLIRGYQVFISPFLGANKCRFHPTCSTYAIEAIRLHGSVKGCWLAARRILKCHPLHPGGIDPVPPKTHRCNK