B7LSK4 AF NFT

Protein YcgL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicfpuu2fvppiwc3rtd2sbbpbgmlny3yvufi4ya26yilwbo4p4wyya/metadata.json
IPFS of structure file: 
bafybeia2iudwlbknzbtyr3zijfbupjoy4tzkrgouxkvhluic2fpmna4zym/AF-B7LSK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaE274d0a9F86E84f92863832Ea0fD62d5b8B9348
First NFT owner address (bech32): 
genesis14cn56z5lsm5yly5x8qew5r7k94dchy6gl8q6n0
Current NFT ID #527232 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527232
Accession (UniProt):
B7LSK4
Name::
Protein YcgL
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LSK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LSK4|YCGL_ESCF3 Protein YcgL OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=ycgL PE=3 SV=1 MLCVIYRSSKRDQTYLYVEKKDDFSRVPEELMQGFGKPQLAMILPLDGRKKLVNADIEKVKKALTEQGYYLQLPPPPEDLLKQHLSLTGHIRTESEQ