P0DF65 AF NFT

Segregation and condensation protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegzcks63aegb32yps36rekek5neze6tyvo6dmga6e3j6tykid7wu/metadata.json
IPFS of structure file: 
bafybeifav2kkte3itep4lkmtgetaqnmnhywrvzk7ijvlf3ikhrpqt3274y/AF-P0DF65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5d82922Caf49DF7584AF49cE74BFBCE565a80Ac4
First NFT owner address (bech32): 
genesis1tkpfyt90f80htp90f888f0auu4j6szkyjzqp06
Current NFT ID #421993 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421993
Accession (UniProt):
P0DF65
Name::
Segregation and condensation protein B
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M3 (strain SSI-1)

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 P0DF65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DF65|SCPB_STRPQ Segregation and condensation protein B OS=Streptococcus pyogenes serotype M3 (strain SSI-1) OX=193567 GN=scpB PE=3 SV=1 MTYLSQIEALLFVAGEEGLSLRHLASMLSLTPTALQQQLEKLSQKYEKDQHSSLCLIETANTYRLVTKEGFAELLRAYAKTPMNQSLSRASLEVLSIVAYKQPITRIEIDDIRGVNSSGALSKLLAFDLIREAGKKDVVGRPHLYATTDYFLDYMGINHLDELIEVSAVEPADEEIALFRTQD