Q9UMX0 Ubiquilin-1 MolNFT, Molecular NFT on GenesisL1

Ubiquilin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicpvoit4fu27udfzrncyxh2zfuiwghhpfh7tjf2leh75zdev6uhme/metadata.json

IPFS of structure file:

bafybeic7vlnbbforlwmsvnkwaeqtbpvexvjnmpfd6hvkyjc7gomjclyzrq/AF-Q9UMX0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x1f0b1aeA56C13da54F3c6EE6CE41C19fcF2DD979

First NFT owner address (bech32):

genesis1ru9346jkcy762neudmnvuswpnl8jmktetllypr

Current NFT ID #487207 owner (web3):

0xeDe6FdB486740aA776Ade3705F18bEa30887dA64

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
487207
Accession (UniProt):
Q9UMX0
Name::
Ubiquilin-1
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9UMX0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9UMX0|UBQL1_HUMAN Ubiquilin-1 OS=Homo sapiens OX=9606 GN=UBQLN1 PE=1 SV=2 MAESGESGGPPGSQDSAAGAEGAGAPAAAASAEPKIMKVTVKTPKEKEEFAVPENSSVQQFKEEISKRFKSHTDQLVLIFAGKILKDQDTLSQHGIHDGLTVHLVIKTQNRPQDHSAQQTNTAGSNVTTSSTPNSNSTSGSATSNPFGLGGLGGLAGLSSLGLNTTNFSELQSQMQRQLLSNPEMMVQIMENPFVQSMLSNPDLMRQLIMANPQMQQLIQRNPEISHMLNNPDIMRQTLELARNPAMMQEMMRNQDRALSNLESIPGGYNALRRMYTDIQEPMLSAAQEQFGGNPFASLVSNTSSGEGSQPSRTENRDPLPNPWAPQTSQSSSASSGTASTVGGTTGSTASGTSGQSTTAPNLVPGVGASMFNTPGMQSLLQQITENPQLMQNMLSAPYMRSMMQSLSQNPDLAAQMMLNNPLFAGNPQLQEQMRQQLPTFLQQMQNPDTLSAMSNPRAMQALLQIQQGLQTLATEAPGLIPGFTPGLGALGSTGGSSGTNGSNATPSENTSPTAGTTEPGHQQFIQQMLQALAGVNPQLQNPEVRFQQQLEQLSAMGFLNREANLQALIATGGDINAAIERLLGSQPS

Q9UMX0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9UMX0 research and analysis (ICN3D with VR)

FASTA sequences

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