O34398 AF NFT

Bifunctional non-homologous end joining protein LigD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6lg6fd3jtcwxfdnx67occvlmkqzvstyfswksapgmrjib6wdpfkm/metadata.json
IPFS of structure file: 
bafybeigg6ysjj6qge27jedunpsvhqlqilzvz6pybrldiuvaf6znd3g6yii/AF-O34398-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8e429b67ddB6dd2fEAF65c9A62559C555ce09032
First NFT owner address (bech32): 
genesis13epfke7akmwjl6hktjdxy4vu24wwpypjssk6t0
Current NFT ID #213711 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
213711
Accession (UniProt):
O34398
Name::
Bifunctional non-homologous end joining protein LigD
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 O34398 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O34398|LIGD_BACSU Bifunctional non-homologous end joining protein LigD OS=Bacillus subtilis (strain 168) OX=224308 GN=ligd PE=2 SV=1 MAFTMQPVLTSSPPIGAEWRYEVKYDGYRCILRIHSSGVTLTSRNGVELSSTFPEITQFAKTAFQHLEKELPLTLDGEIVCLVNPCRADFEHLQVRGRLKRPDKIQESANARPCCFLAFDLLERSGEDVTLLSYLDRKKSLRELISAAKLPASPDPYAKETIQSIPCYDHFDQLWEMVIKYDGEGIVAKKTNSKWLEKKRSSDWLKYKNFKQAYVCITGFNPNNGFLTVSVLKNGIMTPIASVSHGMRDEEKSAIREIMEQHGHQTPSGEFTLEPSICAAVQYLTILQGTLREVSFIGFEFQMDWTECTYAQVIRHSKPVHPKLQFTSLDKIIFEKNKKTKEDFIQYMIEVSDYLLPFLKNRAVTVIRYPHGSRSESFFQKNKPDYAPDFVQSFYDGSHEHIVCEDMSTLLWLCNQLALEFHVPFQTIKSRRPAEIVIDLDPPSRDDFLMAVQAANELKRLLDSFGITSYPKLSGNKGIQLYIPLSPEAFTYEETRQFTQLIAEYCTNAFPELFTTERLIKNRHCKLYLDYLQHAEGKTIICPYSTRGNELGTVAAPLYWHEVQSSLTPALFTIDTVIDRIKKQGCPFFDFYRNPQDEPLSAILHQLKKKS