B9IV71 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihekb2quddnxdjp6ghrzzbnfba42czqtcrauxd5myf5me3uc4oc3y/metadata.json
IPFS of structure file: 
bafybeiheg3nqx4pzwl5ryfdsjrvae3nzwscqb7lyueeuar2pww3vk2bgmy/AF-B9IV71-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #63511 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63511
Accession (UniProt):
B9IV71
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9IV71 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9IV71|CINA_BACCQ Putative competence-damage inducible protein OS=Bacillus cereus (strain Q1) OX=361100 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEERADMLIFTGGLGPTKDDLTKETIASSLEEKLVYDENALALISNYFKRTGREFTENNKKQALVLNGGTVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVHEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKKKGLTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYHNDVKQHVLHVPEEVLSTDGAVSKECARYLAENVRELLKADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI