P49699 AF NFT

Androgen receptor (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeico5guocp3u54snqxj4zq63v3bihuj7542fpzw6spwudvaht6pnc4/metadata.json
IPFS of structure file: 
bafybeieicqgd6aih7ufzcs6yqq5xbcqkw5a2jlixi2p5wearnikt7btlsu/AF-P49699-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3cA0EE6820f947118590759a11eAFe76581DaA01
First NFT owner address (bech32): 
genesis18jswu6pql9r3rpvswkdpr6h7wevpm2spx5mc0n
Current NFT ID #16135 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16135
Accession (UniProt):
P49699
Name::
Androgen receptor (Fragment)
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 P49699 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P49699|ANDR_RABIT Androgen receptor (Fragment) OS=Oryctolagus cuniculus OX=9986 GN=AR PE=2 SV=1 HHQQQQDAATEGSSSGRARRPSGASTSSKDSYLGSTSVISDSAKELCKAVSVSLGLGVEALEHLSSGEQLRGDCMYAPLLGGPPVVRPTPCLPLVECKGSLLDDGPGKGTEETAEYTPFKGGYNKGLEAESLGCSGSGEAGSSGTLELPSTLSLYKSGTLDEAAAYQTRDYYNFPLALAGQPPPPHPRRIKLENPLDYGSAWAAAAAQCRYGDLASLHGGGAAGPGSGSPSTAASSSWHTLFTTEEGQLYGLCGGGGGSGPGEAGAVAPYGYTRPPQGLTGQEGDFPAPEVWYPGGVVSRVPYPNPSCVKSEMGPWMESYSGPYGDMRLETARDHVLPIDYYFPPQKTCLICGDEASGCHYGALTCGSCKVFFKRAAEGKQKYLCASRNDCTIDKFRRKNCPSCRLRKCYEAGMTLGARKLKKLGNLKLQEEGESSSASSPTEDTTQKLTVSHIEGYECQPIFLNVLEAIEPGVVCAGHDNNQPDSFAALLSSLNELGERQLVHVVKWAKALPGFRNLHVDDQMAVIQYSWMGLMVFAMGWRSFTNVNSRMLYFAPDLVFNEYRMHKSRMYSQCVRMRHLSQEFGWLQITPQEFLCMKALLLFSIIPVDGLKNQKFFDELRMNYIKELDRIIACKRKNPTSCSRRFYQLTKLLDSVQPIARELHQFTFDLLIKSHMVSVDFPEMMAEIISVQVPKILSGKVKPIYFHTQ