P0C5Q2 AF NFT

Putative uncharacterized protein YMR013W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej52b36p2njh5m2cjveotxgkj2gvzj2vsjvvfvix6old2w3z7poi/metadata.json
IPFS of structure file: 
bafybeifaxjsovaeuw4dyo3f3bk2iw6x4rqhdj7ibph3or6f6nsd7jv37xa/AF-P0C5Q2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x603786131b429eaC7e663e5851C902F5dCB72B70
First NFT owner address (bech32): 
genesis1vqmcvycmg202clnx8ev9rjgz7hwtw2msrd9yvr
Current NFT ID #534445 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534445
Accession (UniProt):
P0C5Q2
Name::
Putative uncharacterized protein YMR013W-A
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 P0C5Q2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C5Q2|YM013_YEAST Putative uncharacterized protein YMR013W-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YMR013W-A PE=5 SV=1 MMISTFHDGQLRFSNVYRLTLMIFRL