Q9L4F0 AF NFT

UV DNA damage endonuclease

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqhpob63rgbgyjmafu3l6bqsgdixakjliuxlol5t66cujnpo5ygm/metadata.json
IPFS of structure file: 
bafybeiaxvjznlhwchjk4ktnwg23yw2zb4erwpdy27jv76gtvq5wcuzbeqm/AF-Q9L4F0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa02d851D8aB39CC5520A796fAA338fbc4fE2cd63
First NFT owner address (bech32): 
genesis15qkc28v2kwwv25s209h65vu0h3879ntraqzjgz
Current NFT ID #494190 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
494190
Accession (UniProt):
Q9L4F0
Name::
UV DNA damage endonuclease
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q9L4F0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9L4F0|UVSE_BACCR UV DNA damage endonuclease OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=uvsE PE=3 SV=1 MLIRFGYVSHAMALWDCSPAKTMTFTSFKKLSKQEREDKLYHVIRQNLEHTIRILHYNIAHEIPLYRLSSSIVPLATHPEVEFDYIGVFTPLWRKIGALIKEHNLRISFHPNQFTLFTSDKPHITTNAITDMTYHYKILDAIGIADSSYINIHVGGAYGNKEKAIERFHENIKKLPTHIKKQMTLENDDKTYTTAETLSICQKENIPFVFDYHHHMANLCEEPLEELLPAIFETWSHTNISPKVHISSPRSEKEFRAHAEYIDLEFIKPFLHIAKKHNHNFDIMIESKQKDLALFQLIDELSAIRGIKRISGAMLQW