Q0GA40 AF NFT

Lengsin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieocl4vyyphll3l7ruguq74gzmdf5kn5hjhzk36mkhy5u2tioe7se/metadata.json
IPFS of structure file: 
bafybeibjefgg7tnajd7cg2qgkh5d3y4w7thxs5aeqyc34mkyoe4matjukq/AF-Q0GA40-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x768f002c877Ef74A3940086Ba6968dA0D1F2E703
First NFT owner address (bech32): 
genesis1w68sqty80mm55w2qpp46d95d5rgl9ecrvqwu00
Current NFT ID #212759 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
212759
Accession (UniProt):
Q0GA40
Name::
Lengsin
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q0GA40 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0GA40|LGSN_RABIT Lengsin OS=Oryctolagus cuniculus OX=9986 GN=LGSN PE=2 SV=1 MNDEGDLLQEDTARDEVNETEASRMSKLRKTRKKVTKPHDYSTEVGEMDISNSNERIRSQMLCHQLGDTSKPVAGPSSSETRVSQDDKDSPDQTMVMKPLPPQTASVPSGEHNTNSDCTRDSTQILTPPQLSSRMKHIKQEMAKNHLQFVQFEASDLHGVSRSKSIPAHFFQEKVIHGVFMPRGYLELIPNPKDNEVNHIRATCFNNDIVLMPELSTFRVLPWAERTARVICDTFTVTGEPLLTSPRYIAKRQLNQLQDCGFSLLSAFIYDFCIFGVPEIINSKTISFAASTLVNNHDQPFMQELVDGLYHTGASVESFSSSTRPGQMEICFLPEFGISSADNAFTLRTGVKEVARKYNYIASFFIETGFCNSGILSHSLWDVDGKKNMFCNSSGVEQLTIIGKKWLAGLLKHSAALSCLMAPAVSCRKRYSKETKDLKESVPTTWGYNDNSCAFNIKCHGDKGARIENKLGSATANPYLVLAATVAAGLDGLQSNLDDLAGPDDSTDLFQSEPSEIPLKLEDALVALEEDECLREALGETFIRYFVAMKKYELENEETDAERNKFLEYFI