B0JMD9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwvairehl43n4nknym4hyr6b5coku2dtxt7kmvtbnf6reog5ksqm/metadata.json
IPFS of structure file: 
bafybeiatx3tgnvnybd72kbruombaz6tszo6xslcdibn43dpnlcvmmc4n64/AF-B0JMD9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #532418 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532418
Accession (UniProt):
B0JMD9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Microcystis aeruginosa (strain NIES-843)

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 B0JMD9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0JMD9|YIDD_MICAN Putative membrane protein insertion efficiency factor OS=Microcystis aeruginosa (strain NIES-843) OX=449447 GN=MAE_34020 PE=3 SV=1 MKGIFIGLIEGYRRFISPLFPPSCRFQPTCSQYAMEAIDRFGVLRGSWLAIKRILRCHPFHPGGYDPVPPCHHKHD