Q13950 Runt-related transcription factor 2 MolNFT, Molecular NFT on GenesisL1

Runt-related transcription factor 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihtiprznx3uoasflqvlz26qpz3tuxyebzbre4cbke4l2of2czdub4/metadata.json

IPFS of structure file:

bafybeibnfy7rrecklcmwqlgyoqrypqyvokxusn4zqnc5vakk74vngdezpy/AF-Q13950-F1-model_v2.pdb

First NFT owner address (eip-55):

0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5

First NFT owner address (bech32):

genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv

Current NFT ID #415660 owner (web3):

0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
415660
Accession (UniProt):
Q13950
Name::
Runt-related transcription factor 2
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q13950 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q13950|RUNX2_HUMAN Runt-related transcription factor 2 OS=Homo sapiens OX=9606 GN=RUNX2 PE=1 SV=2 MASNSLFSTVTPCQQNFFWDPSTSRRFSPPSSSLQPGKMSDVSPVVAAQQQQQQQQQQQQQQQQQQQQQQQEAAAAAAAAAAAAAAAAAVPRLRPPHDNRTMVEIIADHPAELVRTDSPNFLCSVLPSHWRCNKTLPVAFKVVALGEVPDGTVVTVMAGNDENYSAELRNASAVMKNQVARFNDLRFVGRSGRGKSFTLTITVFTNPPQVATYHRAIKVTVDGPREPRRHRQKLDDSKPSLFSDRLSDLGRIPHPSMRVGVPPQNPRPSLNSAPSPFNPQGQSQITDPRQAQSSPPWSYDQSYPSYLSQMTSPSIHSTTPLSSTRGTGLPAITDVPRRISDDDTATSDFCLWPSTLSKKSQAGASELGPFSDPRQFPSISSLTESRFSNPRMHYPATFTYTPPVTSGMSLGMSATTHYHTYLPPPYPGSSQSQSGPFQTSSTPYLYYGTSSGSYQFPMVPGGDRSPSRMLPPCTTTSNGSTLLNPNLPNQNDGVDADGSHSSSPTVLNSSGRMDESVWRPY

Q13950 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q13950 research and analysis (ICN3D with VR)

FASTA sequences

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