Q57NJ9 AF NFT

Protein YcgL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia3joyhmr3p5iojyteeomdtwe4qekptfmnl6op2inst6dhoc4pneu/metadata.json
IPFS of structure file: 
bafybeidzignyf65kgl66t266lmam2iw2nitvpfr7brb5flmm6iliz2lmya/AF-Q57NJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA55fA446aDFd185F1deb3281162E4D0d9a8056F7
First NFT owner address (bech32): 
genesis15406g34dl5v9780tx2q3vtjdpkdgq4hhcrjpf5
Current NFT ID #527235 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527235
Accession (UniProt):
Q57NJ9
Name::
Protein YcgL
Experimental Method:
Predicted structure
Sequence source:
Salmonella choleraesuis (strain SC-B67)

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 Q57NJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57NJ9|YCGL_SALCH Protein YcgL OS=Salmonella choleraesuis (strain SC-B67) OX=321314 GN=ycgL PE=3 SV=1 MRQVTIPLIQSKSMFCVIYRSSKRDQTYLYVEKKDDFSRVPEALMKGFGQPQLAMMLPLDGRKKLVNAELEKVKQALSEQGYYLQLPPPPEDLLKQHLSSVGQNTSPADR