Q6G9D9 AF NFT

PTS system glucose-specific EIIA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxrcevm6edqqo55za2dc6vtjgow5nn5hr4ex32ptfzvd5y3pdl3a/metadata.json
IPFS of structure file: 
bafybeia6pqb5rvr4cetvey6ohoddpbotu3z6azhpryby4c3z2syssd5wmm/AF-Q6G9D9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x93f7e5ac43dcB2b93e5c93f453853F747a7d35AB
First NFT owner address (bech32): 
genesis1j0m7ttzrmjetj0juj0698pflw3a86ddtvxk9cu
Current NFT ID #318503 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
318503
Accession (UniProt):
Q6G9D9
Name::
PTS system glucose-specific EIIA component
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MSSA476)

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 Q6G9D9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G9D9|PTGA_STAAS PTS system glucose-specific EIIA component OS=Staphylococcus aureus (strain MSSA476) OX=282459 GN=crr PE=3 SV=1 MFKKLFGKGKEVQKDIAIYTPLTGEFVKIEDIPDPVFAQKMMGEGFGINPTEGEVVSPIAGRVDNVFPTKHAIGLKADNGLELLVHIGLDTVQLDGEGFEVLVSSGDEVNVGDPLVRFNLEYINNNAKSVISPIIITNTDQAASINIYDENAVIKGETKVIDVTMN