Q29435 AF NFT

Mucin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeienibmbprwcdt6saumethqwf477ggd2466xemhgz3gibjowhehi3u/metadata.json

IPFS of structure file:

bafybeibfesu3axcnnfyfdemavzisctcs4yge5wusc7ekvyvsytbz4b5k2a/AF-Q29435-F1-model_v2.pdb

First NFT owner address (eip-55):

0x5062b2EC3CC3F0Bd724A9c14691EBC99DE6780B0

First NFT owner address (bech32):

genesis12p3t9mpuc0ct6uj2ns2xj84un80x0q9skuqqx9

Current NFT ID #249278 owner (web3):

0x5062b2EC3CC3F0Bd724A9c14691EBC99DE6780B0

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
249278
Accession (UniProt):
Q29435
Name::
Mucin-1
Experimental Method:
Predicted structure
Sequence source:
Hylobates lar

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 Q29435 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q29435|MUC1_HYLLA Mucin-1 OS=Hylobates lar OX=9580 GN=MUC1 PE=3 SV=1 MTPGTQSLFFLLLLLTVLTVVTGSGHASSTPGGEKETSATQRSSMPSSTEKKVVSMTSSVLSSHSPGSGSSTTQGQDVSLAPATEPASGSAATWGQDVTSVPVTRPAPGSTTSPAQDVTSAPDTRPALGSTAPPVHGVTSAPDTRPTLGSTAPPVHGVTSAPDTRPTLGSTAPPVHNVTSASGSASGSASTLVHNGTSARATTTPASKSTPFSIPSHHSDTPTTLTSHSTKTDASSTHHSTVSPLTSSNHSTSPQLSIGVSFFFLSFHISNLQFNSSLEDPSTNYYQELQRDISELILQIYKQGDFLGVSNIKFRPGSVVVQSTLAFREGTTNVHDVEAQFNQHKTEAASRYNLTISDVSVSDVPFPFSAQSGAGVPGWGIALLVLVCVLVALAIVYLIALAVCQCRRKNYGQLDIFPARDAYHPMSEYPTYHTHGRYVPPSSTNRSPYEKVSEGNGGSSLSYTNPAVAATSANL

MOLNFT AF v1_w

NFT data

MOLNFT Q29435 research and analysis (ICN3D with VR)

FASTA sequences

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