Q81WQ3 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2ujs2tebs5teoajydllxdsf5g6oesedpcz6at7f6yh2fbvil3wu/metadata.json
IPFS of structure file: 
bafybeieopq6h56b3ixax2qtrnjqpvayzlr4utp45r43hs3texe4khmlmea/AF-Q81WQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6a678071E385658cE6d421477c6475AD824BDf6e
First NFT owner address (bech32): 
genesis1dfncqu0rs4jceek5y9rhcer44kpyhhmwwd3pze
Current NFT ID #63503 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63503
Accession (UniProt):
Q81WQ3
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS ANTHRACIS

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 Q81WQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81WQ3|CINA_BACAN Putative competence-damage inducible protein OS=Bacillus anthracis OX=1392 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEERADMLIFTGGLGPTKDDLTKETIASSLAEELVYDEKALASISDYFKRTGREFTENNKKQALVLDGATVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVDEAEKLIQHVEDLILERVGGFFYGYDQEFLHDKAIVLLKKKGLTLACAESLTGGLFGNQVTESAGVSSVFKGGVICYHNDVKQHVLHVPEEVLFTDGAVSKECARYLAENVKELLEADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI