A6ZRW8 AF NFT

Uncharacterized vacuolar membrane protein SCY_4679

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemwlqmoqga3r6ckwv5dk77wnrkxksojjy6ohv2exy6qovvu3gpn4/metadata.json
IPFS of structure file: 
bafybeid6d5w4zyccnqtzfyuyhmod64qq2kfepnkiqblima5ptuqstl7vqu/AF-A6ZRW8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #535275 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535275
Accession (UniProt):
A6ZRW8
Name::
Uncharacterized vacuolar membrane protein SCY_4679
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN YJM789)

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 A6ZRW8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6ZRW8|YNL5_YEAS7 Uncharacterized vacuolar membrane protein SCY_4679 OS=Saccharomyces cerevisiae (strain YJM789) OX=307796 GN=SCY_4679 PE=3 SV=1 MKANGLDNDPARTRMERTDIDSEHPEAQPLLNNNHRTLGAGSANGPAVNEGRDIESDGFIKDSLFQIRKGYRIFIHNSKWILNILILINTIWLVTTLISDFFFNINILFGFSNRYASFNDLTLIFISIIANSFNLWFNKLGLYSALDYSLNVTLCVLTLFNLALTYLIKYTRQRIGFVGTFTYLWTSFSFFIGAILDWYLLFYNNSINEPLEERRIDDANISTFNENHTNSTENRDRSQYGSGSPTPTHRSQLVQNKHTLTEWVSIGFRNTIKFLILIFFALFTLNTLLTTLDTYRLTHKLPITVQSPSYEAFHYVDAAKTYQLHITCYGDVFDQENNTDLSENKKQPIILFEHGGYDTGYLSATWIEELYHLDKIQRYCLYDRPGYGLSDSPPAPISIAMVAESLRYALIKDAKIKGPFTTVGYDLGGLFTRVFTAKNVDIVDSMMLVESWHEELLLKNYIQRLLPPGRGDGDDGDDGNGNDGDGRNHDKTWLPSEIERHNEFRLWWKGIWSSLGWRLQTSWLLAHHGSKERIYGRDMKYQGRFLRSKFLESVTSSILSYRDVTNNAESLQNVKTSIVSSKEMVKKSALWGDWQRDLTKISHKTQEWKIVEGGHEIYKYGLGKQQTQEVLLRLIGELGKLTED