Q4VBH4 AF NFT

Probable ubiquitin-conjugating enzyme E2 W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqfmzvpukc3wmjxnrqvuwpocz7uzxtirhijjkpeagq36xnvn6aqu/metadata.json
IPFS of structure file: 
bafybeid6l6alcn5knoxhsozhgv2qpnw2up7mb6urhnfzqhg7hbzh4ensem/AF-Q4VBH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x378a28002909c2509a47F088Dee431D1ba770530
First NFT owner address (bech32): 
genesis1x79zsqpfp8p9pxj87zydaep36xa8wpfs9u5xqz
Current NFT ID #485164 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
485164
Accession (UniProt):
Q4VBH4
Name::
Probable ubiquitin-conjugating enzyme E2 W-A
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 Q4VBH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4VBH4|UB2WA_DANRE Probable ubiquitin-conjugating enzyme E2 W-A OS=Danio rerio OX=7955 GN=ube2wa PE=2 SV=2 MASMQKRLQKELLALQNDPPAGMTLNERSVQNTITEWFIDMEGAQGTVYEGEKFQLLFKFSSRYPFESPQVMFTGENIPVHPHVYSNGHICLSILTEDWSPALSVQSVCLSIISMLSSCKEKRRPPDNSFYVKTCNKNPKKTKWWYHDDTC