Q9W7E7 AF NFT

Mothers against decapentaplegic homolog 5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid62coduvmpq2eg3nn5xjjxwqwkh2y2wguhvyqph6sqy237bzprtq/metadata.json
IPFS of structure file: 
bafybeid3m247jmjim4wagmgcud3oiyko3a3pxgceaiasu5ti7grvcuqrgy/AF-Q9W7E7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #430750 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
430750
Accession (UniProt):
Q9W7E7
Name::
Mothers against decapentaplegic homolog 5
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 Q9W7E7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W7E7|SMAD5_DANRE Mothers against decapentaplegic homolog 5 OS=Danio rerio OX=7955 GN=smad5 PE=2 SV=1 MTSMSSLFSFTSPAVKRLLGWKQGDEEEKWAEKAVDALVKKLKKKKGAMEDLEKALSSPGQPSKCVTIPRSLDGRLQVSHRKGLPHVIYCRVWRWPDLQSHHELKPLEVCEYPFGSKQKEVCINPYHYKRVESPVLPPVLVPRHSEFNPQHSLLVQFRNLSHNEPHMPLNATFPESFQQHSGGSSFPISPNSPYPPSPASSGTYPNSPASSGPSSPFQLPADTPPPAYMPPDEQMGQDGSQSMETGSSLAPQNMPRGDVQPVEYQEPSHWCSIVYYELNNRVGEAYHASSTSVLVDGFTDPSNNKNRFCLGLLSNVNRNSTIENTRRHIGKGVHLYYVGGEVYAECLSDTSIFVQSRNCNYHHGFHPTTVCKIPSGCSLKIFNNQEFAQLLAQSVNHGFEAVYELTKMCTIRMSFVKGWGAEYHRQDVTSTPCWIEVHLHGPLQWLDKVLTQMGSPLNPISSVS