C1EP04 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidudctmy3t4ykygfrld6yrzouifannkfmb3xs6xwwx4gqeitqp4ku/metadata.json
IPFS of structure file: 
bafybeideigpc4r3asp7n55efkjxtgetzz5lgwumrr7622cu2jv3ul4ffby/AF-C1EP04-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #63507 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63507
Accession (UniProt):
C1EP04
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain 03BB102)

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 C1EP04 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1EP04|CINA_BACC3 Putative competence-damage inducible protein OS=Bacillus cereus (strain 03BB102) OX=572264 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEGRADMLIFTGGLGPTKDDLTKETIASSLAEELVYDEKALASISDYFKRTGREFTENNKKQALVLDGATVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVDEAEKLIQHVEDLILERVGEFFYGYDQEFLHDKAIELLKKKGLTLSCAESLTGGLFGNQVTESAGVSSVFKGGVICYHNDVKQHVLHVPEEVLFTDGAVSKECARYLAENVKELLEADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI