B2T5K0 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtjq33aba6kg5ifs7hm3e52wdglbmgx7yqittravne3zyvzjpxi4/metadata.json
IPFS of structure file: 
bafybeib7gc766k3abbmqqfvy7czlyqh5vnnyknpguvr5vgerpfj422trki/AF-B2T5K0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #102686 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102686
Accession (UniProt):
B2T5K0
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
PARABURKHOLDERIA PHYTOFIRMANS (STRAIN DSM 17436 / LMG 22146 / PSJN)

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 B2T5K0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2T5K0|DNLJ_PARPJ DNA ligase OS=Paraburkholderia phytofirmans (strain DSM 17436 / LMG 22146 / PsJN) OX=398527 GN=ligA PE=3 SV=1 MARTSASHPATSAPAERAAWLRAELERANYAYYVLDQPDLPDAEYDKLFKELESIETEHPDLIVPDSPTQRVGGEAASGFEPVVHDQPMLSLNNGFADEDIVAFDKRVGDALGKNASEPPVPVDYAAELKFDGLAISLRYVDGAFVQASTRGDGTTGENVTENVRTIRSIPLKLKGKRVPHVLDVRGEVLMFKRDFERLNERQRAAEQKEFANPRNAAAGSLRQLDSKITAQRPLSFFAYGIGVLEGMEMPATHSELLDWYKELGLPVNSERAVVQGAEGLLGFFHGVGEKREKLPYDIDGVVYKVNRRDEQDALGFVSRAPRFALAHKFPAQEALTKLVAIDVQVGRTGAITPVARLEPVFVGGATVTNATLHNEDEVRRKDIRIGDTVIVRRAGDVIPEVVSALLDRRPSDAREFVMPTQCPVCGSSIERLPDEAIARCTGGLFCPAQRKQALWHFAQRRALDIDGLGEKIIDQLVEQNLVRTPADLFNIGFATLAELDRFAEKSAQNLLDSLEKAKHTTLARFIYALGIRHVGESTAKDLAKHFGSLDPIMDASVEALLEVNDVGPVVAESIHQFFAEEHNRTVIEQLRAPGKVTWPEGPPAPKAPQGVLAGKTVVLTGTLPSLAREEAKEMLEAAGAKVAGSVSKKTDYLVAGADAGSKLAKAEELGVPVLDEDGMRKLLEGQL