Q7CID0 AF NFT

YcgL domain-containing protein YPO2080/y2231/YP_1923

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickumw2dx2g64c2dkzgv6vayv6eocglnqa754pct6wtjwsmrxn4cm/metadata.json
IPFS of structure file: 
bafybeiftxat3nugzzf3qyopcgsvrhdjuuntcvt36k67koucimbhl477q5a/AF-Q7CID0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #510805 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
510805
Accession (UniProt):
Q7CID0
Name::
YcgL domain-containing protein YPO2080/y2231/YP_1923
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q7CID0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7CID0|Y2080_YERPE YcgL domain-containing protein YPO2080/y2231/YP_1923 OS=Yersinia pestis OX=632 GN=YPO2080 PE=3 SV=1 MLCAIYRSPKRDQTYLYIEKKDDFSRVPAELLASFGKPQFAMLLALNERKTLATADVEKVKNALIEQGFYLQVPPPPESLLKMHLGETKA