Q56957 AF NFT

Attachment invasion locus protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6ygpfyxyfo3dk2pt6n57kma2saw7fjpxv2342usksmhr65fnloa/metadata.json
IPFS of structure file: 
bafybeif34swcwondsjdccdy7r5sl6lffoutcklytahxig6ygq4fd2wt7ku/AF-Q56957-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x76FE725d33d5838c54501068f07a12aAb661539b
First NFT owner address (bech32): 
genesis1wml8yhfn6kpcc4zszp50q7sj42mxz5um8mwdsa
Current NFT ID #12094 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
12094
Accession (UniProt):
Q56957
Name::
Attachment invasion locus protein
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q56957 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q56957|AIL_YERPS Attachment invasion locus protein OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=ail PE=3 SV=2 MVFMNKTLLVSSLIACLSIASVNVYAEGESSISIGYAQSRVKEDGYKLDKNPRGFNLKYRYEFNNDWGVIGSFAQTRRGFEESVDGFKLIDGDFKYYSVTAGPVFRINEYVSLYGLLGAGHGKAKVSSIFGQSESRSKTSLAYGAGLQFNPHPNFVIDASYEYSKLDDVKVGTWMLGAGYRF