P0DF82 AF NFT | MOLNFT bioinformatics, blockchain

Probable transcriptional regulatory protein SpyM3_0231

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiatdqyke7ldzgnne326zg475arwem6knhojlxz52yl6nmwjhp7shy/metadata.json

IPFS of structure file:

bafybeigny6qsb2ai4l2cj5kvgg476qapjv3pvo2buf2s2s3yskwul7qme4/AF-P0DF82-F1-model_v2.pdb

First NFT owner address (eip-55):

0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152

First NFT owner address (bech32):

genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn

Current NFT ID #511930 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511930
Accession (UniProt):
P0DF82
Name::
Probable transcriptional regulatory protein SpyM3_0231
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M3 (strain ATCC BAA-595 / MGAS315)

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 P0DF82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DF82|Y231_STRP3 Probable transcriptional regulatory protein SpyM3_0231 OS=Streptococcus pyogenes serotype M3 (strain ATCC BAA-595 / MGAS315) OX=198466 GN=SpyM3_0231 PE=3 SV=1 MGRKWANIVAKKTAKDGATSKVYAKFGVEIYVAAKQGEPDPELNTALKFVIDRAKQAQVPKHVIDKAIDKAKGNTDETFVEGRYEGFGPNGSMIIVDTLTSNVNRTAANVRTAYGKNGGNMGASGSVSYLFDKKGVIVFAGDDADSVFEQLLEADVDVDDVEAEEGTITVYTAPTDLHKGIQALRDNGVEEFQVTELEMIPQSEVVLEGDDLETFEKLIDALESDDDVQKVYHNVADF