D4GYZ4 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidx2akmma5kpgpdctdu72q6fmoyjuggkrj4lzrpiyxi7ajxj5haam/metadata.json
IPFS of structure file: 
bafybeicn4tqblniwm75zvfmla7nz73mkto7xxrycmvmgktnqibgyz6nnwe/AF-D4GYZ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #102101 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102101
Accession (UniProt):
D4GYZ4
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
HALOFERAX VOLCANII (STRAIN ATCC 29605 / DSM 3757 / JCM 8879 / NBRC 14742 / NCIMB 2012 / VKM B-1768 / DS2)

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 D4GYZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D4GYZ4|DNLI_HALVD DNA ligase OS=Haloferax volcanii (strain ATCC 29605 / DSM 3757 / JCM 8879 / NBRC 14742 / NCIMB 2012 / VKM B-1768 / DS2) OX=309800 GN=lig PE=3 SV=1 MQFAEFAARAAEIEAEPADLAVVSLLSDLFSDAGDDLPTVARFVQGRVFPAWDSTTLDIGPRLCHEAIARAAGPNVSADDVEDRLADRGEIGAVAASYDFGGQRGLAAFGSGEQDGLTVAEVDSELRALAAASGSGSEETKLKTLYGLFNRTDPDEARFLARLVLSEMRIGVGEGTVRDAVAEAFLVAPADAAAIRDDDADAETEAAARERRNEAIAAVARALQVSNDYGMVAGLARDEGEAGLDGVRLEVGRPVQAMLAQAGTAADALGEWGTAAVETKFDGARVQVHRDADGEVSLFSRNMEDVTDALPEVVEFVAGAVDDPVILDGEVVAMDDGGEPLPFQEILRRFRRKHDVDRMREEVRVELRAFDCLHAAGDDLLADPLAARHDRLTALLGDDSPAVSDLLLSDDPDEIAAYEADALDAGHEGIMLKNPDAPYSPGDRGKNWLKRKPDVETLDLVVTGAEWGEGRRAEFLGTFLLSARVEAESGDDAFETIGKVATGITDEELAELTDLLEPEIEREAGKEVDIRPSVVFEVGYEEIQTSPTYSSGYALRFPRFVTVREDKTAETADSLDRVERLADSQ