Q7ZWE6 AF NFT

Dysbindin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifit4eizvb3dscn6q7epcwbvy4ibqmjhromnktzvr3f4a6zr4hzty/metadata.json
IPFS of structure file: 
bafybeib2mn74bv6ahcufqduk3o44f54yrwmmiiyctu4ru6pxvduixpp3ia/AF-Q7ZWE6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a8CCfe42e026980760C0B967bbe59a752A3A2Fc
First NFT owner address (bech32): 
genesis1p2xvlepwqf5cqasvpwt8h0je5af28ghun40st9
Current NFT ID #105973 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105973
Accession (UniProt):
Q7ZWE6
Name::
Dysbindin-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 Q7ZWE6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZWE6|DTB1A_DANRE Dysbindin-A OS=Danio rerio OX=7955 GN=dtnbp1a PE=2 SV=1 MFENFREKLQTVQQDFTSGIKTLSDKSKEAKVKKKQRRDEYLPQYSAGVELLSRYEDTWVALHKRAKESAKSGETVDGEVVMLCAHWEKRRGAVLELQEQLQQIPTFLSDLETITSRIAHLEADFEEMESRLVYLEDLCAQCEHQRFKQFQILQLENYKKKKRKELESCKAELDAEHAQKVLEMEHAQQVKLKERRKYFEEAFQQDMEQYLSTGYLQITDRRDPLGSMSSMEVNVDLLEQMDLTDVSDHEALDVFLSSVGEESSAVSPDAGGPSLEPGSSPSDISLKVPSQSELRHNISSISSSCTDTVSGTTEGPDEEESSSGDSPLVQSDEEEVHADTALMGLPETEALKSSDDSDTQAP