B9MQY2 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6e3dygatf3zip4zeftdcxxxxjdlm2ze525fkubwd5n5dyoob7ia/metadata.json
IPFS of structure file: 
bafybeia7q3gcsborg4m37qz67y62224a67bf7e4lcbeq347lft4px6stnm/AF-B9MQY2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #63520 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63520
Accession (UniProt):
B9MQY2
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
CALDICELLULOSIRUPTOR BESCII (STRAIN ATCC BAA-1888 / DSM 6725 / Z-1320)

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 B9MQY2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9MQY2|CINA_CALBD Putative competence-damage inducible protein OS=Caldicellulosiruptor bescii (strain ATCC BAA-1888 / DSM 6725 / Z-1320) OX=521460 GN=cinA PE=3 SV=1 MVAEIICVGTELLLGQILNTNSQYLAQKLAELGIDLYFQTTVGDNMERLKMAIDIATKRSDVLIFTGGLGPTSDDITKEAVADYFGLTLVLDEDILRRIESFFERRQVKMPQINKKQAYVPEGAKVLHNKNGTAPGLIIEKDGKIAILLPGPPFEMQPMFEEEVLPYLEKFSKQKIYSRVLKFIGIGESSIEEALKDLILSQTDPTMALYAKPFEVELRITTKKESEELAKSLLQSMEYRIRERLGEYIYGVDRQLLEEVVIGLLTEKKLKVSVAESCTGGLICNKLTNVPGASEVFDRGFIVYSNEAKMKLLGVPEQVLKEHGAVSSQTARFMAQGALSNSLSDIALSVTGIAGPGGGSETKPVGLVYIGIATKDNVESFEFRFSGDRLRIKEMTSKAALNILRKKIIDY