P16335 AF NFT

Wound-responsive protein GWIN3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifiek77miy52mpfb44qmyqth5x23rdtdprk7twkthrdynh7y7k2e4/metadata.json
IPFS of structure file: 
bafybeidpiihrlvbu4u2v5yrznenxyvinbuz7ewwo22ncuuoyothjiqhimq/AF-P16335-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x39cE7DD77991D69765BFaaEb966333a74344c5B1
First NFT owner address (bech32): 
genesis18888m4mej8tfwedl4t4evcen5ap5f3d36amec7
Current NFT ID #162509 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
162509
Accession (UniProt):
P16335
Name::
Wound-responsive protein GWIN3
Experimental Method:
Predicted structure
Sequence source:
Populus sp.

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 P16335 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16335|GWIN3_POPSP Wound-responsive protein GWIN3 OS=Populus sp. OX=3697 GN=GWIN3 PE=2 SV=1 MKITKFLGLSFLLFAFAATSFPDGVHAEDPAAVLDFYGREVQAGASYLIDQEDFRVVNATINPICNSDVILSTGIEGLPVTFSPVINSTDGVIREGTLITVSFDASTCGMAGVTPMWKIGFNSTAKGYIVTTGGVDRLNLFKITKFESDSSFYQLSYCPNSEPFCECPCVPVGANSDKYLAPNVSYADFRFKPDARIEST