B9DW66 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgsfdjs6tioopqnpgmhgxi6lwlzzivtuyqolnmceylzvm2tjutyy/metadata.json
IPFS of structure file: 
bafybeibfgnsc4gtpqtqqay53jomyjb6nsyg47uynqajzplzfppzu527cea/AF-B9DW66-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #63602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63602
Accession (UniProt):
B9DW66
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus uberis (strain ATCC BAA-854 / 0140J)

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 B9DW66 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9DW66|CINA_STRU0 Putative competence-damage inducible protein OS=Streptococcus uberis (strain ATCC BAA-854 / 0140J) OX=218495 GN=cinA PE=3 SV=1 MKAEIIAVGTELLTGQVLNTNAQFLSEKMAEIGVDVFFQTAVGDNESRLLNLLDIASQRSDLILLCGGLGPTEDDLTKQTVASFLGKSLVFEPSASQKLDHFFASRPHYSRTPNNERQAQIIEGSTPIPNITGLAVGGILEVDGVTYVLLPGPPSELKPMVNQYLLPALSGNHTALYSRVLRFFGIGESQLVTILSEMIHKQSDPTIAPYAKIGEVTLRLSTKAETPEQAKAKLDGLEQKILQTPSFEGGLLADYHYGYGETNSLSAEVVNMLKERSMTITAAESLTAGLFQSTIADFPGSSKLFRGGFVTYHIEEKAKMLQLQLSDLELHGVVSAFTAKKMAEQSRHLTASDIGVGLTGVAGPDALEGHNVGTVFIGIATLKGAKSYKVSIGGRSRSDIRYIACLHAFDLVRKTLLNGLNLL