Q9GMY3 AF NFT

Gastricsin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfyppxysejfinp6dywdpltvlfa46nafqrw6hq5ipm3rv7bzcgzwu/metadata.json
IPFS of structure file: 
bafybeidzypjcxvrj7fv4fzkxqudoyruw7umdwaaco2y5deu3wpxqrhdeaa/AF-Q9GMY3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30281DB7A9A079156752d613E3c3BDd4099b1a02
First NFT owner address (bech32): 
genesis1xq5pmdaf5pu32e6j6cf78saa6syekxszr290py
Current NFT ID #293450 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
293450
Accession (UniProt):
Q9GMY3
Name::
Gastricsin
Experimental Method:
Predicted structure
Sequence source:
Rhinolophus ferrumequinum

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 Q9GMY3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GMY3|PEPC_RHIFE Gastricsin OS=Rhinolophus ferrumequinum OX=59479 GN=PGC PE=2 SV=1 MKWMVVVLLCLQLLEAKVVKVPLKKLKSLRETMKEKGLLEEFLKNHKYDPAQKYRYTDFSVAYEPMAYMDAAYFGEISIGTPPQNFLVLFDTGSSNLWVPSVYCQTQACTGHTRFNPSQSSTYSTNGQTFSLQYGSGSLTGFFGYDTLTVQSIQVPNQEFGLSENEPGTNFVYAQFDGIMGMAYPSLAMGGATTALQGMLQEGALTSPVFSFYLSNQQGSQNGGAVIFGGVDNSLYQGQIYWAPVTQELYWQIGIEEFLIGGQASGWCSQGCQAIVDTGTSLLTVPQQYMSALLQATGAQEDQYGQFFVNCNYIQNLPTFTFIINGVQFPLPPSSYILNNNGYCTVGVEPTYLPSQNGQPLWILGDVFLRSYYSVYDMGNNRVGFATAA