Q01572 AF NFT

Uncharacterized 10.9 kDa protein in secA 5'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsegdix4heyu7icyljgh35jg4kvzqq57qqljzo3uqhjpe5ny6b3y/metadata.json
IPFS of structure file: 
bafybeif5bct4f32b7luiofbutimrq2weotwmftzdzodg5aselr3lwoeufy/AF-Q01572-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #527932 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527932
Accession (UniProt):
Q01572
Name::
Uncharacterized 10.9 kDa protein in secA 5'region
Experimental Method:
Predicted structure
Sequence source:
Diacronema lutheri

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 Q01572 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q01572|YCX1_DIALT Uncharacterized 10.9 kDa protein in secA 5'region OS=Diacronema lutheri OX=2081491 PE=4 SV=1 MRPIHICLNVRFLFFRPIYACNIDFITLAFAVRKSLFDDPLNPLAIFKTLFLSYSSYTTSFNSHESPCIKSFTNSTLKINIYKILVNLPYLQK