Q9VLU4 AF NFT

Serine protease inhibitor 28Dc

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieqzgnkb2atw4tyqrlhbhkrb6nztlklqveelwile7o2k3vdid5wgq/metadata.json

IPFS of structure file:

bafybeif7abft6ogzl4ygkk524jbxmthoe65t5l4fk2hoaviryixbh7hnxe/AF-Q9VLU4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x378a28002909c2509a47F088Dee431D1ba770530

First NFT owner address (bech32):

genesis1x79zsqpfp8p9pxj87zydaep36xa8wpfs9u5xqz

Current NFT ID #433311 owner (web3):

0x378a28002909c2509a47F088Dee431D1ba770530

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433311
Accession (UniProt):
Q9VLU4
Name::
Serine protease inhibitor 28Dc
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VLU4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VLU4|SP28D_DROME Serine protease inhibitor 28Dc OS=Drosophila melanogaster OX=7227 GN=Spn28Dc PE=2 SV=2 MWRLLLALLLVSSVCCESELFRDDLRTPETMAYINGLMQRRHQMQQEAQQHIQAIPPAVPLQSPGLVNGLGNQNDPALNRISGTSVKPSNLPAAYSNGYVDLATSDRIANSVLNFANILGQHLANGKTQIYSPLSIVHSLALLLLGAKGRSYEELSTVFDIPDTSRLHEQFGLMLQDLQQPTREAISAGRPLTDWRASSAMRSNRRAQRPGAHEVHLANGLFTQTGYTLNPDYRRVIVEVYASDLQIQDFEGSPATARYNINAYVAQHTKNHIENIIASDIPQTTRMILANALYFKAFWETDFIESATRPDNFYPNGEGTEPVMRVQMMATGGAYPYHEDHELGCKIIGLPYRGNLSTMYIIQPFKSSVRELMALQKRLTADKIESMISRMYRRAALVAFPKMHLTESVNLKTVMQRMGLGGIFSAVQNDLSLIATNEATRTNALGGNSLQNLEAQRRAGTGGARSDLVVDDIVHKVDFTVNEQGTEAAASSVTYLKKSGPDVLFRGDTPFMVLVRHDPTKLVLFYGLINEPPAAA

MOLNFT AF v1_w

NFT data

MOLNFT Q9VLU4 research and analysis (ICN3D with VR)

FASTA sequences

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