A9VS24 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtcn4u7opkgiqapu2pqx6uo6dyvfmewh4lxizi4nhu3fv6jwanua/metadata.json
IPFS of structure file: 
bafybeidhlf2fkturaamtkne5l72ex5n5z7tp5ghqysejlb7hm3prqqdkba/AF-A9VS24-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3b84a90162fe4f819Fd4D4c3A59BE544DcCa02aa
First NFT owner address (bech32): 
genesis18wz2jqtzle8cr8756np6txl9gnwv5q42qcp4qf
Current NFT ID #63516 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63516
Accession (UniProt):
A9VS24
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus mycoides (strain KBAB4)

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 A9VS24 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9VS24|CINA_BACMK Putative competence-damage inducible protein OS=Bacillus mycoides (strain KBAB4) OX=315730 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQKAIELAEERADMLIFTGGLGPTKDDLTKETIASTLDEELVYDEKALTSISDYFKRTGREFTENNKKQALVLNGSTVFANDHGMAPGMGLNTNGKVYILLPGPPKEMKPMYISYVEPFLCKFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHHDADEAEKLIQHVEDLILERVGEFFYGYDQDFLHYKAIRLLKEKGLTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYQNDVKQQILHVPEEVLRTDGAVSKQCARYLAENVKKLLKADIGISFTGVAGPDASEHKEPGTVFIGLVIKDEPAVVFSLNLSGSRQQIRERSTKYGFYHLFKKLEEI