P66823 AF NFT

Protein Smg

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiclctcwyytapwcqv4iuz3ttfopefwoohd2mufstkrva4gnauewurq/metadata.json
IPFS of structure file: 
bafybeicdksvxecgmc7gzl5ab67mr63hscztygzjg5nmmmqrxa77et47ddq/AF-P66823-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f160919213e42170f231D5fbA6c94153Bbc852c
First NFT owner address (bech32): 
genesis1tutqjxfp8eppwrerr40m5my5z5amepfv44gx2y
Current NFT ID #431137 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431137
Accession (UniProt):
P66823
Name::
Protein Smg
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHI

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 P66823 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P66823|SMG_SALTI Protein Smg OS=Salmonella typhi OX=90370 GN=smg PE=3 SV=1 MFDVLMYLFETYIHNEAELRVDQDRLERDLTDAGFDREDIYNALLWLEKLADYQDGLAEPMQLASDPLSMRIYTVEECERLDASCRGFLLFLEQIQVLNLETREMVIERVLALDTAEFDLEDLKWVILMVLFNIPGCENAYQQMEELLFEVNEGMLH