Q5R6Q7 Sorting nexin-16 MolNFT, Molecular NFT on GenesisL1

Sorting nexin-16

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibqkdjo5xkodmdyqwvqhprylkfepusq7vclbm3da7cq2ww2qpk5ai/metadata.json

IPFS of structure file:

bafybeiar433qyegq7kropabj43ehgasvmkpmemjlkxh34hy2xhmdgxa4fm/AF-Q5R6Q7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x061709E5c590470B2a4D9a39A6B73b43637aa6A5

First NFT owner address (bech32):

genesis1qctsnew9jprsk2jdngu6ddemgd3h4f49x6jrnq

Current NFT ID #431962 owner (web3):

0x7D34c99F3c1FD7D95D8D93F7B8771bc2e53E59a9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431962
Accession (UniProt):
Q5R6Q7
Name::
Sorting nexin-16
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R6Q7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R6Q7|SNX16_PONAB Sorting nexin-16 OS=Pongo abelii OX=9601 GN=SNX16 PE=2 SV=1 MATPYVPVPMPIGNSASSFTTNRNQRSSSFGSVSTSSNSSKGQLEDSNMGNFKQTSVPDQMDNTSSVCSSPLIRTKFTGAASSIEYSTRPRETEEQNPETVNWEDRPSTPTILGYEVMEERAKFTVYKILVKKTPEESWVVFRRYTDFSRLNDKLKEMFPGFRLALPPKRWFKDNYNADFLEDRQLGLQAFLQNLVAHKDIANCLAVREFLCLDDPPGPFDSLEESRVFCETLEETNYRLQKELLEKQKEMESLKKQLSEKQLHIDTLENRIRTLSLEPEESLDVSETEGEQILKVESSALEVDQDVLDEESRADNEPCLHFSEPENAISEIEVAEVAYDAEED

Q5R6Q7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q5R6Q7 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience