Q5R9B3 AF NFT

Coiled-coil domain-containing protein 186 (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiak37sgwku5pp5ok27zaca4umq5xthdvhqfn2zjzvsamm2qkjtfqa/metadata.json
IPFS of structure file: 
bafybeibqk4dnfhfsw7iyppjq5srxase6l22xhknbzxvpwf2geagcg3ir2e/AF-Q5R9B3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ea5fCC25611AAa9B10a72a49dC4816Fe9839C7f
First NFT owner address (bech32): 
genesis1f6jlesjkzx42nvg2w2jfm3ypdl5c88rld6thdw
Current NFT ID #53773 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
53773
Accession (UniProt):
Q5R9B3
Name::
Coiled-coil domain-containing protein 186 (Fragment)
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R9B3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R9B3|CC186_PONAB Coiled-coil domain-containing protein 186 (Fragment) OS=Pongo abelii OX=9601 GN=CCDC186 PE=2 SV=2 VGLIKENKKHQELFVDICSEKDNLREELKKRTETEKQHMNTIKQLESRIEELNKEVNASRDKLVAQDVTAKNAIQQLHKEMAQRMEQANKKCEEARQEKEAMVMKYVRGEKESLDLRKEKETLEKKLRDANKELEKNTNKIKQLSQEKGRLHQLYETKEGETTRLIREIDKLKEDINSHVIEVKWAQNKLKAEMDSHKETKDKLKETTTKLTQAKEEADQIRKNCQDMIKTYQESEEIKSNELDAKLRVTKGELEKQMQEKSDQLEMHHAKIKELEDLKRTFKEGMDELRTLRTKVKCLEDERLRTEDELSKYKEIINRQKAEIQNLLDKVKIVDQLQEQLQRGKQEIENLKEEVESLNSLISDLQKDIEGSRKRESELLLFTERLTSKNAQLQSESNSLQSQFDKLSCSESQLQSQCEQMKQTNINLESRLLKEEELRKEEVQTLQAELTCRQTEVKALSTQVEELKDELVTQRRKHASSIKDLTKQLQQARRKLDQVENGSYDKEVSSMGSRSSSSGSLNARSSAEDRSPENTGSSVAVDNFPQVDKAMLIERIVRLQKAHARKNEKIEFMEDHIKQLVEEIRKKTKIIQSYILREESGTLSSEASDFNKVHLSRRGGIMASLYTSHPADNGLTLELSLEINRKLQAVLEDTLLKNITLKENLQTLGTEIERLIKHQHELEQRTKKT