Q4JHS0 AF NFT

BH3-interacting domain death agonist

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxuvfeq6yhgu4id2ba77vtu2tjkrfpa7f56ifl2jpbarjeawjtpq/metadata.json
IPFS of structure file: 
bafybeifojzl5ooa5f45r6so7rk4auurbfv4m63fhdxvb6zkcopxjc3c4ka/AF-Q4JHS0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7238Ea97Ea3911B27D1dadB3894ADD9F45aef055
First NFT owner address (bech32): 
genesis1wguw49l28ygmylga4kecjjkanaz6auz4e0tg3g
Current NFT ID #43124 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
43124
Accession (UniProt):
Q4JHS0
Name::
BH3-interacting domain death agonist
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q4JHS0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4JHS0|BID_PIG BH3-interacting domain death agonist OS=Sus scrofa OX=9823 GN=BID PE=1 SV=1 MDSKVSNGSSLQDERITNLLVFGFLQSCPHASFHKELEVLGHELPVHTSGSDELQTDGNRCSYFMEDAAETDSESQEAVIRDIARHLARIGDRMEYGIRPGLVDSLAAQFRNQSLSEEDRRQGLAAVLQQLVHSYPADMGQEKTLLVLTMLLARKVAEHSPALLRDVFHTTVNFINQNLLTYLRNLVQSEMD