A9QYV1 AF NFT

YcgL domain-containing protein YpAngola_A2398

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicv6p4kz6zgaa77wcsgthkke7l2h6l5ipljwvjjbq3mcu4k7wrq4q/metadata.json
IPFS of structure file: 
bafybeid52gfyrwfeb3uo6awclfgbzx3q5erai2kov5azlkvcuskdqi6pkm/AF-A9QYV1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAFcE78C2F59C0868Bf7ACDb4670B574ae14010e4
First NFT owner address (bech32): 
genesis14l883sh4nsyx30m6ek6xwz6hfts5qy8y880rwk
Current NFT ID #512234 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
512234
Accession (UniProt):
A9QYV1
Name::
YcgL domain-containing protein YpAngola_A2398
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QYV1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QYV1|Y2398_YERPG YcgL domain-containing protein YpAngola_A2398 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A2398 PE=3 SV=1 MLCAIYRSPKRDQTYLYIEKKDDFSRVPAELLASFGKPQFAMLLALNERKTLATADVEKVKNALIEQGFYLQVPPPPESLLKMHLGETKA