A0RIZ9 AF NFT

Putative pre-16S rRNA nuclease

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifrqpn6x3tamoztj3bkcmvr3s5qqvdztl7t4lhnhiencz4dgqyx3i/metadata.json
IPFS of structure file: 
bafybeieagvq3ks4aa7odexv6pzljor2vjx6tltbfbspw4efiqjda73hyju/AF-A0RIZ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAd557e6f6A692F288Eb46BbD1Af60EBFddb60Ea0
First NFT owner address (bech32): 
genesis1442humm2dyhj3r45dw734aswhlwmvr4qupm7sd
Current NFT ID #537083 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
537083
Accession (UniProt):
A0RIZ9
Name::
Putative pre-16S rRNA nuclease
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RIZ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RIZ9|YQGF_BACAH Putative pre-16S rRNA nuclease OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=BALH_3971 PE=3 SV=1 MRILGLDVGTKTVGVAISDEMGWTAQGLETIKINEERGQFGFDRISELVKQYDVDKIVVGLPKNMNGTIGPRGEACQQFAENLRELLQLDVVMWDERLSTMAAERLLISADVSRKKRKQVIDKMAAVVILQGFLDSK