B9KNZ3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidoxyeorgzurijtrwki3os33ic3yevv3u3blgqzymvolpr7rmjxda/metadata.json
IPFS of structure file: 
bafybeifyyl6s2fzrvo5b6c7w4yxcroikclwmc5vvxeg4ansoqglpnwh4i4/AF-B9KNZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c2D56B87823aE0eC22a00C7d67B25Fa307D4d29
First NFT owner address (bech32): 
genesis13sk4dwrcywhqas32qrrav7e9lgc86nffy3s4mh
Current NFT ID #532257 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532257
Accession (UniProt):
B9KNZ3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain KD131 / KCTC 12085)

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 B9KNZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9KNZ3|YIDD_CERSK Putative membrane protein insertion efficiency factor OS=Cereibacter sphaeroides (strain KD131 / KCTC 12085) OX=557760 GN=RSKD131_2455 PE=3 SV=1 MSPLAQVLALPVRAYRLLLSPWVGHGCRYQPTCSVYALDALERHGALKGGWLAARRILSCHPWGGSGYDPVPGADPEHDRRPRG