F1QWZ4 AF NFT

Growth/differentiation factor 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid3xpf5utv5cn5m476lwesiwpblkupeahgo6llzlsglzjl6xugice/metadata.json
IPFS of structure file: 
bafybeibllw7mvwhkigil4tfgzpjsuydmirfysvrfl4suld65ep6dohclsy/AF-F1QWZ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35bc58F45218eC6921f239176E2dC30f302c6392
First NFT owner address (bech32): 
genesis1xk793azjrrkxjg0j8ytkutwrpuczccuja9aq5h
Current NFT ID #145882 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
145882
Accession (UniProt):
F1QWZ4
Name::
Growth/differentiation factor 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 F1QWZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F1QWZ4|GDF2_DANRE Growth/differentiation factor 2 OS=Danio rerio OX=7955 GN=gdf2 PE=2 SV=1 MWRVGHLLLLMSIVFRITEEKSLGDAGSLEDSMFIQEQKLVEDDDLNKVESFLGFMKEDFLRKLNLSGVPQEHRKVQPPQFMIELYNRYASDKNSIPRSDVIRSFVVQDVIYSIRQGNKTQHRLLFNVSIPNHEEITSVQLRLFTLWHRHKPACDDLFTSINVYDVEYEQNAKILHLLDGRDVRESINTWEAFDVTGAVRIWHESRRGAGEIQVEVQHSCDSFDISLSLEDNSSAVVIVFSDDLGNRKEESMRKVKEMLVREQQQVGNQAPVSNRHRRRKRKAKNNYCRRTSLKVNFKDIGWDKWIVAPPEYDAYECKGVCYFPLTDDVSPSRHAVIQTLVNLSNPKKANMACCVPTKLDPIAVMYQEKGVITVRHLYEEMKVAKCGCR