Q96VH3 AF NFT

Putative uncharacterized protein YCL021W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfzam76g6jaje5ujzwthxjwqcz4a3tvnpfdsvtkk7aomtulzedk4/metadata.json
IPFS of structure file: 
bafybeihdiycbsad4i4t6ouu7l6uzg6ypg6k5hqqqmpg6gbj54pjdhybpjq/AF-Q96VH3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1f8bc17CB3611090dDAE0D139DbBDcb586eDf26
First NFT owner address (bech32): 
genesis158utc97txcgsjrw6urgnnkaaedvxahexr50ct0
Current NFT ID #525994 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
525994
Accession (UniProt):
Q96VH3
Name::
Putative uncharacterized protein YCL021W-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 Q96VH3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q96VH3|YC021_YEAST Putative uncharacterized protein YCL021W-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YCL021W-A PE=4 SV=1 MVLTDAEELRSPVITSDMSFFDLESNHSSDSVHLLCEKYTHKLPIESESQTTFRLAPTKQRLYRQSTLYVPLSLKQRVFLFTERVKSIWAGLPRCKPNKYFKVAFALAVLTPLAIWIFYIDFRVH