P9WFL8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid2b47jbm5ckj4rvurtcmhi7jnvlefjavh2hogxjs323vopjzhkxy/metadata.json
IPFS of structure file: 
bafybeibjv6imv5tpq25kd2nje4s4ceg5yaukybguj7xs3ag2tys3daxkdu/AF-P9WFL8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #532425 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532425
Accession (UniProt):
P9WFL8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WFL8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFL8|YIDD_MYCTO Putative membrane protein insertion efficiency factor OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT4040.1 PE=3 SV=1 MSLSRQSCGRVVRVTGRASARGLIFVIQVYRHMLSPLRPASCRFVPTCSQYAVDALTEYGLLRGSWLTMIRLAKCGPWHRGGWDPIPEGLTTGRSCQTDVDGANDDWNPASKRGERESFV