B7HLB5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvvqx3znmf5zwaw36zyv2nm3763ptgrbu3367333z4yigijhz7di/metadata.json
IPFS of structure file: 
bafybeigjom2532ttjfqmowj4mwtowb7cktrtgpnlhxis2zi7fombfo2pua/AF-B7HLB5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2e10c37eBe055d96a2d6869bF021342e7086e263
First NFT owner address (bech32): 
genesis19cgvxl47q4wedgkks6dlqgf59ecgdcnrvthshx
Current NFT ID #63509 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63509
Accession (UniProt):
B7HLB5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH187)

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 B7HLB5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HLB5|CINA_BACC7 Putative competence-damage inducible protein OS=Bacillus cereus (strain AH187) OX=405534 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEERADMLIFTGGLGPTKDDLTKETIASSLAEELVYDEKALASISDYFKRTGREFTENNKKQALVLDGATVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVHEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKKKGLTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYHNDVKQHVLHVPEEVLSTDGAVSKECARYLAENVRELLKADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI