A2SQD1 DNA primase DnaG MolNFT, Molecular NFT on GenesisL1

DNA primase DnaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidgrn2z5am3zv4yqqllibffm62ituxjtwsd5wkf7oqn3q77gilo6e/metadata.json

IPFS of structure file:

bafybeihnsil5ee7oypncrbnqdh4evs2occdjqbt3qwhbbifymfjk2b4ijq/AF-A2SQD1-F1-model_v2.pdb

First NFT owner address (eip-55):

0x5C81F89466F453542F3C897d87cd887Ce1917b5e

First NFT owner address (bech32):

genesis1tjql39rx73f4gteu397c0nvg0nsez7670m0lg4

Current NFT ID #100247 owner (web3):

0x84e61bE2B32b5580a50fE9Dd16c41b59E17F5FB5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
100247
Accession (UniProt):
A2SQD1
Name::
DNA primase DnaG
Experimental Method:
Predicted structure
Sequence source:
Methanocorpusculum labreanum (strain ATCC 43576 / DSM 4855 / Z)

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 A2SQD1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2SQD1|DNAG_METLZ DNA primase DnaG OS=Methanocorpusculum labreanum (strain ATCC 43576 / DSM 4855 / Z) OX=410358 GN=dnaG PE=3 SV=1 MYSIDSIKYLIHIHIEAEGVVEKTDVVGAIFGQTEGLLGEELDLRDLQRSGRIGRIDVQIVSKHGKTAGECYIASSLDRAETAILAAALETIDRIGPCMAAIRIQNIEDLRAIKRRQIVERAKELLLESFDEVGISTYDILTEVREASRVEKITTIGPERLPAGPAVLESDAIIIVEGRADVLNLLKCGINNTVAVEGTKVPETVIDLSAKKNTTVFVDGDRGGDLILRELLQVADIDFVAFSPRRRSVEDMSRKEIVKSLRNKVPASVLKSHIEKDEPISDLVFEIEAGEEEHSSVSQKEEGNNTTPDVPADLPEEPPKSNIDEAIIPPITTSEQNLVKPENPHTIQEHTQYMKNTGRSRVLAEDAGVIGDYSLQELKAILPKLNDDVAGVIVDAAVDQKFIDQAFAKGLTYVAANAFEGIVRRPAGLRLIPF

A2SQD1 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A2SQD1 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience