Q6NW58 AF NFT | MOLNFT bioinformatics, blockchain

Spastin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibmkwq5culhv3v6jg4yn346fudi5qdxsojgakktf7a6nwb5ylndna/metadata.json

IPFS of structure file:

bafybeicbr7cytkvvcwjtzml2x3quio4io2dfnsrvthcuoxnoeg4imwmdpe/AF-Q6NW58-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6Dc146208de75f433B0cA37588fA133d01B61494

First NFT owner address (bech32):

genesis1dhq5vgydua05xwcv5d6c37sn85qmv9y5c3wymg

Current NFT ID #433703 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433703
Accession (UniProt):
Q6NW58
Name::
Spastin
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 Q6NW58 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NW58|SPAST_DANRE Spastin OS=Danio rerio OX=7955 GN=spast PE=2 SV=2 MNSGHKARLRGGRACGPVSDGSARGNRLLFYTRSLSRVPEWLLRVLLLLLRWLFQPIRRAMAARAKECGPDGSEETGERIRNYHKQAFEFISVALQIDEDEKGDKQKAVQWYRKGIAELEKGIQIQVTGAGEKADRARKLQDKMITNLSMAEDRLKLLGNLLSQSPAESSSDDSFYSFSNGNLRPAPASGAVSKKKDTLTITNQTSLRPKNPPKSTPNASGLNCTPSAAQSSRTGPQNNQKGPTVKGKNNVKASTTATASPQRKRDMKNFKNVDSKLASLILNEIVDSGSVVRFDDIAGQDLAKQALQEIVILPALRPELFTGLRAPARGLLLFGPPGNGKTMLAKAVAMESNATFFNISAATLTSKYVGEGEKLVRALFAVARELQPSIIFIDEIDSLLCERREGEHDASRRLKTEFLIEFDGVQSGGDERVLVMGATNRPQELDEAVLRRFAKRIYVALPTEETRLKLLKNLLSKHRNPLSQKELSQLARLTDGYSGSDLTSLAKDAALGPIRELKPEQVRNMSAHEMRDIRISDFLESLKRIKRSVSPQTLDQYVRWNREYGDTTGV