A3QK16 AF NFT

Erlin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5raafyz4vnbro5q5g3jgohinamwanecsd6fl34xctsvz6y5xtu4/metadata.json
IPFS of structure file: 
bafybeienn3isnj3yesfukowbsnsz7w5b77ibstwxiruf2b5cawef4yyyse/AF-A3QK16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBDaba9F1bAE78Bc8b4574B9BB809390289445980
First NFT owner address (bech32): 
genesis1hk46nud6u79u3dzhfwdmszfeq2y5gkvqfl30w9
Current NFT ID #119941 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
119941
Accession (UniProt):
A3QK16
Name::
Erlin-2
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 A3QK16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3QK16|ERLN2_DANRE Erlin-2 OS=Danio rerio OX=7955 GN=erlin2 PE=2 SV=1 MTLGAVASLILAIGGAAVFSALHKIEEGHVGVYYRGGALLTATSGPGFHLMLPFITTFKSVQTTLQTDEVKNVPCGTGGGVMIYFDRIEVVNYLVPSAVYGIVRNFTADYDKALIFNKVHHELNQFCSVHTLQDVYIGLFDQIDENLKLTLQEDLTSMAPGLIIQAVRVTKPNIPESIRRNYELMESERTKLLIAAQTQKVVEKEAETERKKAVIEAEKVAQVAEIKFGQKVMEKETEKKISQIEDSAYLARQKAKADAEFYSAQRAAEANKLKLTPEYLQLMKFKAIAANSKIYFGSEIPHMFMDSGPGSSSSAASKAIDVLSEGMLDLE