P9WFL9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7msykbxixhqdvjc7n6d3ja2jjhoquf3fpy5tmu3vn2pzlvbnzju/metadata.json
IPFS of structure file: 
bafybeidlvpzvlghhdku3tjp4h3hialqpuop4zl4e6eya6kqlhs3epwnksq/AF-P9WFL9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1a13568a7326926D3c9276C0aF18d0Aa99f8D49F
First NFT owner address (bech32): 
genesis1rgf4dznny6fx60yjwmq27xxs42vl34ylz8l7tg
Current NFT ID #532426 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532426
Accession (UniProt):
P9WFL9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WFL9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WFL9|YIDD_MYCTU Putative membrane protein insertion efficiency factor OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv3922c PE=3 SV=1 MSLSRQSCGRVVRVTGRASARGLIFVIQVYRHMLSPLRPASCRFVPTCSQYAVDALTEYGLLRGSWLTMIRLAKCGPWHRGGWDPIPEGLTTGRSCQTDVDGANDDWNPASKRGERESFV