B7IWH0 AF NFT

Segregation and condensation protein A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczamobmqxhsugcyla6qisad7pqatopwy6tcbdoanhne2bjxvrjby/metadata.json
IPFS of structure file: 
bafybeibsbfsqc2oywe27fcoifsfqt73vv4nnqqkahovikrrk6tczhyt26y/AF-B7IWH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7400f7b24BE0c93a1DBa276C19093d9a3191F907
First NFT owner address (bech32): 
genesis1wsq00vjturyn58d6yakpjzfangcer7g88q0lhd
Current NFT ID #421759 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421759
Accession (UniProt):
B7IWH0
Name::
Segregation and condensation protein A
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain G9842)

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 B7IWH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7IWH0|SCPA_BACC2 Segregation and condensation protein A OS=Bacillus cereus (strain G9842) OX=405531 GN=scpA PE=3 SV=1 MQYNFKVEAFEGPLDLLLHLIHRYEIDIYNIPVADITEQYLSYVHTMKELQLDVASEYLVMAATLLQIKSKMLLPKHEEDVLDNGDDFIDDPRQELMERLIEYKKYKQVATELKEREQERAQLYTRPPIDFTSLQQEEETSLPLDVTLYDMLAAFQKLMRRKKAKKPVTTRITRQEIPIEQRMTDILKQLKIKGGRQSFYDLFVDDEREIMVVTFLAVLELMKNQQIIIEQEHNFDEIFVSSSNKSA