Q01I35 AF NFT

Auxin response factor 10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxiiw4hnwslvljhh36ualln3irazcbohxiezbxdke77ompreyqme/metadata.json
IPFS of structure file: 
bafybeic7cqqpxpps3ubmj5k5ifa4ruceiekdgghtftimwusaychfvcpkmi/AF-Q01I35-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc1561376793393b1CA847254750D93728aCFE619
First NFT owner address (bech32): 
genesis1c9tpxanexwfmrj5ywf282rvnw29vlesehl0ch6
Current NFT ID #20621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
20621
Accession (UniProt):
Q01I35
Name::
Auxin response factor 10
Experimental Method:
Predicted structure
Sequence source:
ORYZA SATIVA SUBSP. INDICA

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 Q01I35 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q01I35|ARFJ_ORYSI Auxin response factor 10 OS=Oryza sativa subsp. indica OX=39946 GN=ARF10 PE=3 SV=2 MLTFMELAGPTEGDGGGSVDSQLWAACAGSMSSVPPVGAAVYYFPQGHAEQASAAVDLSSARVPPLVPCRVVAVRFMADAESDEVFAKIRLVPLRPGDAVVDVGEAAAAEARREEENSRPRPTSFAKTLTQSDANNGGGFSVPRFCAETIFPELDYSSEPPVQSVCAKDVHGVEWTFRHIYRGTPRRHLLTTGWSPFVNKKQLTAGDSIVFMRDEGGNIHVGLRRAKRGFCSIGGDDESLSSIPGWDQYRGLMRRNATATATGGRTPPKGKVPPENVLTAATRATTGQPFEVLYYPRASTPEFCVRAAAVRTAMAVQWCPGMRFKMAFETEDSSRISWFMGTVAGVQASDPVRWPQSPWRLLQVTWDEPELLQNVKRVCPWLVELVSSMPNLHLPSFSPPRKKPRNPPYAELPLEGQIFTGPVFPPNPMAHDHHHHHGFPFLPFPDSSAQPAGIQGARHAQFASPFPEFHIGNLQPNLMLYAGIRLPPADRAAPAPRPPRIIISTDLTIGSPGKPDDAACSPSSGGKKIDDTKPRGFLLFGQAILTEEQIKNGNSDGRPASPNWDAEKAPNTSEGSDSGVTQGSPTKNTTPSWSLPYFGGNNISRASEYELNPGQCKVFVESETVGRSLDLSALSSFEELYACLSDMFSIGSDELRSHLVYRSPAGEVKHAGDEPFCAFVKSARKLRILTDAGSDNLGD