Q642H3 AF NFT

Septin-8-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhwiiylstlf3dyxdltkdahhbklhjv57l4zfjqk5wxna5eidihpqe/metadata.json
IPFS of structure file: 
bafybeibv535y6my2ir7utvfb3ej6fqb2dth67vcv52vp7g52ptuljst2yu/AF-Q642H3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #425974 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
425974
Accession (UniProt):
Q642H3
Name::
Septin-8-A
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q642H3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q642H3|SEP8A_DANRE Septin-8-A OS=Danio rerio OX=7955 GN=sept8a PE=2 SV=2 MAATDVDIFSNEEKRNLSLGGHVGFDSLPDQLVSKSVTQGFCFNILCVGETGIGKSTLMNTLFNTMFENEEASHYQNGVYLRPRTYDLQESNVHLKLTIVDTVGFGDQINKEESYKPIVDYIDTQFENYLQEELKVKRSLFNYHDTRIHICLYFISPTGHSLKSLDLVTMKKLDSKVNIIPIIAKADTISKSELHKFKIKIMSELVSNGVQIYQFPTDDEAVTEINSSMNAHLPFAVVGSVEEVKVGNKTVRARQYPWGVVQVENESHCDFVKLREMLIRVNMEDLREQTHARHYELYRRCKLEEMGFKDTDPDSQPFSLQETYEAKRKEFLGDLQKKEEEMRQMFVNKVKETEAELKEKERELHEKFEQLKRMHQEEKRKVEEKRRELEEEMNAFNRRKVAAETLSLSQPLKKDKDKKN