Q0WIC8 AF NFT

Cell division protein ZapA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxvekdntqwd5ckvdxmczyxuxsubxcornmumbvtwksg5e6po7xium/metadata.json
IPFS of structure file: 
bafybeifn7hlzrdahl2skatgpni55nt7jn2ecc6uxxyvqcxzi2mg2b66dee/AF-Q0WIC8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3371708538E23D29A3Bd51b2aAF1CBe50bF8768
First NFT owner address (bech32): 
genesis1kvm3wzzn3c3a9x3m65dj4tcuhegtlpmglnjsvh
Current NFT ID #539558 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
539558
Accession (UniProt):
Q0WIC8
Name::
Cell division protein ZapA
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 Q0WIC8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WIC8|ZAPA_YERPE Cell division protein ZapA OS=Yersinia pestis OX=632 GN=zapA PE=3 SV=1 MSAQPVDIQVFGRSLRVNCPPEQQDALNMAAEDLSQRLQDLKVRTRVNNTEQLVFIAALNVCHELAQERLKTRDYASNMEQRIRMLQQTIEQALLEQGRISDRQDTQFE