O17934 Nuclear hormone receptor family member nhr-199 MolNFT, Molecular NFT on GenesisL1

Nuclear hormone receptor family member nhr-199

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidyquvlxqzoiotcdzwbj3dtmjpmwbsuwaot2zlpuxhnuxp3j53gkq/metadata.json

IPFS of structure file:

bafybeia6t2ervxzpdutqwpr4w7khnkbhyagqi5hs3jt3xb5didkqehrnki/AF-O17934-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd6bC1C645b7B141A4643641CCE4f692185f8f8FC

First NFT owner address (bech32):

genesis1667pcezm0v2p53jrvswvunmfyxzl378u9lwquh

Current NFT ID #264113 owner (web3):

0x31fb92b9280a5F706151D5eb4E15AB3159C53077

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
264113
Accession (UniProt):
O17934
Name::
Nuclear hormone receptor family member nhr-199
Experimental Method:
Predicted structure
Sequence source:
CAENORHABDITIS ELEGANS

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 O17934 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O17934|NH199_CAEEL Nuclear hormone receptor family member nhr-199 OS=Caenorhabditis elegans OX=6239 GN=nhr-199 PE=3 SV=1 MFTLARVLNNIGSASSNEPIPYCLICSEVADGNHFGVAAACRACAAFFRRTVQHNKIHECGRNGQCFFLSCKFLLVGFQISPLSSDARSMCKACRYGKCLEMGMQRSSVQQRREQLGKRLNISDDRGKPVLNKLRRAYEMLILNRKHVHNRRENQAPRAIGFNELPIVFQNESTSIYQFLWEAFPEYSMLLPDTKLAFFKNFFLSFCLFESSFNGCSAKQKNVMLIPSGDYIDLAHSESFFTNDHQTFTERDNIEILAQRLKLIQSSITVPLSAENVDIYEFLALAGIILLESDSESEADFQEEAVKIKSNIIKDLLFHYQCINIYDDAAMRLGAVLSILPSIQVCCSRSNNFLIINSKDVSESQSPFSRIHGNQKYAQFVRSSQESLRHVLANFIKFICKFVSI

O17934 AF NFT

MOLNFT AF v1

NFT data

MOLNFT O17934 research and analysis (ICN3D with VR)

FASTA sequences

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