Q96VG5 AF NFT

Putative uncharacterized protein YCR102W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieccow535rlbyzndtubpa4hiqxg5uc3mmwhozw56bf2bikgbuydtu/metadata.json
IPFS of structure file: 
bafybeid4t2jjrvoz7yqf3hwnrokt4iokdrfoqdecffrug7zxenxvbxpbqi/AF-Q96VG5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #526014 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
526014
Accession (UniProt):
Q96VG5
Name::
Putative uncharacterized protein YCR102W-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 Q96VG5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q96VG5|YC102_YEAST Putative uncharacterized protein YCR102W-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YCR102W-A PE=5 SV=1 MYLLRGKVWKNKKYFFDGADYQAFFTGSFRNFLYSRTFMLCGLLNVGLWKYIQEAQLSSNDEPLP