Q5WFW9 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdtuohum7zo3eu7f45tpbxp3wknepglk3nynlquhk7mtg5h3gdo4/metadata.json
IPFS of structure file: 
bafybeiez4zv55nlvnehdz6c2koqfyywn3pm7j2b5qfezs2fbtpundxtply/AF-Q5WFW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #63495 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63495
Accession (UniProt):
Q5WFW9
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus clausii (strain KSM-K16)

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 Q5WFW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5WFW9|CINA_ALKCK Putative competence-damage inducible protein OS=Alkalihalobacillus clausii (strain KSM-K16) OX=66692 GN=cinA PE=3 SV=1 MNAEIMAVGSELLLGQIANTNGQFISKQLASIGVDVYRHTVVGDNEDRLKIALQEAYERADLVILTGGLGPTKDDLTKETVAAFCGKRLVYDENALHEIEDYFKRHNRVMTPNNKKQAYVIEGCTVLANRHGMAPGMLCELEDGKKLALLPGPPSEMKPMFVNELLPKLLGATEQTEITSRVLHFFGIGESQLETDLLDLIATQTNPTIAPLAGDGEVKLRLTVKHADKNEAARLLDETETLIRKRVGSYLYGYNETTLVKETFLRLQASGLTIASAESLTAGLFSSELAAFAGASHVLKGSVTAYSNELKQQLLQVSSATLASDGAISEACALEMARGVKTLYGSDIAISFTGVAGPGVQEGHEAGTVFLALLLPGGKERVYTLSLSGGRNAVRMRAVKFGYFYLLEELKRSNGSK