B4IBI9 AF NFT

Leucine-rich repeat protein soc-2 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepzqvoxtbtfn4lziybh4olqeukjn3s3p523xeula423anogatta4/metadata.json
IPFS of structure file: 
bafybeien2nug6uvhjwn4rwzs3f2sbd2wwhl6ohyjzunhrhpgxmc7o7iyqq/AF-B4IBI9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x41805e074c49e7dA35BdE142489deD42659C230F
First NFT owner address (bech32): 
genesis1gxq9up6vf8na5ddau9py380dgfjecgc0v3g4ca
Current NFT ID #441624 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
441624
Accession (UniProt):
B4IBI9
Name::
Leucine-rich repeat protein soc-2 homolog
Experimental Method:
Predicted structure
Sequence source:
Drosophila sechellia

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 B4IBI9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4IBI9|SUR8_DROSE Leucine-rich repeat protein soc-2 homolog OS=Drosophila sechellia OX=7238 GN=Sur-8 PE=3 SV=1 MNLCSSGATASTTSLSSTGQAERSGGVPGGGAEGGGGGGGSGNSGGGGKTSDVSAEASTLCFAGGSGTAGAITGTDELSNANSPANGAGGASGSTGSAQQPTGSNGHSHLHNENNANMPPETRPKMVTVKHPESNKPKPTTKKSKPIQADQDVIKALQRCRDEGIKRLDLSKSSITVIPSTVKECVHLTELYLYSNKIGQLPPEIGCLVSLRNLALNENSLTSLPESLQNCSQLKVLDLRHNKLAEIPSVIYRLRSLTTLYLRFNRITAVADDLRQLVNLTMLSLRENKIRELGSAIGALVNLTTLDVSHNHLEHLPEDIGNCVNLSALDLQHNELLDIPDSIGNLKSLVRLGMRYNRLSSVPATLKNCKSMDEFNVEGNGITQLPDGMLASLSGLTTITLSRNQFASYPTGGPAQFTNVYSINLEHNRIDKIPYGIFSRAKGLTKLNMKENMLTALPLDIGTWVNMVELNLATNALQKLPDDIMNLQNLEILILSNNMLKKIPNTIGNLRRLRILDLEENRIEVLPHEIGLLHELQRLILQTNQITMLPRSIGHLGNLTHLSVSENNLQFLPEEIGSLESLENLYINQNPGLEKLPFELALCQNLKYLNIDKCPLSTIPPEIQAGGPSLVLQWLKMHSPYRQIDCYYQYELQTVNQAPGAGGNGGGGAAAAGGSASRSSDRR