P36115 AF NFT

Increased rDNA silencing protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibopt4a4n36gyoz3oppp55nqs2kuj2t5nm2qntb4awtcwxb64m7tm/metadata.json
IPFS of structure file: 
bafybeiakisb2owj35raqn7tyyo3dlqbzgv2nose5f3pjzrk5bqbifigtk4/AF-P36115-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAd557e6f6A692F288Eb46BbD1Af60EBFddb60Ea0
First NFT owner address (bech32): 
genesis1442humm2dyhj3r45dw734aswhlwmvr4qupm7sd
Current NFT ID #192141 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
192141
Accession (UniProt):
P36115
Name::
Increased rDNA silencing protein 4
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 P36115 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P36115|IRS4_YEAST Increased rDNA silencing protein 4 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=IRS4 PE=1 SV=1 MRLSFGKQRYHGGTTVTLTEQGASDSLRAAQAIFQNHSNEVSSPCPPVTVSRNPQTRLSEPSLQKSGRKQEQKKARIRTKQVPKIKTTAPNDVELSKKHRSSPAGKDNVSSTAQMAAALAHSQSKLSSDNNSSHSSALDTLKVLETPNLNGLLGIHSRSSSRNGSNESLTPGQRTPDNRSQENLLTSFSSGRRLSSSSMEPATNKDSNKALPKRRPSPPLQSSLVGSGQLHENENLSSISIDSRHSLNPDTSDVISNRSQTSLSQTINQLSLCESEPSIASSNTTTTTSNQGSGLPNLVPNYSSDMRKKKLVNKFKRKVFGSKPKHLSSQYEMDASSEELGQHEQQPSMRFKTTLRKTSVSTNAENDHASSLHEGNLRYKYNPSNDTYDVYDDTDSDSESDQNQDALTKPRKRDRIKRKIRNSANKTAHHRPIHRTRDRKFNEDKPWKSHTDITFVTDNERKRYESMWVSNRHRHLNLLSWWPSITGDSGAINTLPEDGLILGIIVRDIWKRSNLPNSLLAEIYTKVDTRKDGTLDRKSFIVGMWLVDQCLYGRKLPNVVEQCVWDSVDRYASTTVVPVSTLKAMAKQKRKQMKEEIKNIKKENRVVLVDHNSSS