Q9C3Y4 AF NFT

GTP-binding protein rhoA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6gea2dhhuxn7qepq7yz6gc7fu3x4yhndr3ykpykiw6bf2uz3ty4/metadata.json
IPFS of structure file: 
bafybeiaomqebo3qctf5qdb4ophjfo2uwxkfo3ifwbv6t7dqmlw7eqh4dq4/AF-Q9C3Y4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81Cb9D6826c494c4199378382c6Eb30Ba05CC2C7
First NFT owner address (bech32): 
genesis1s89e66pxcj2vgxvn0quzcm4npws9esk8ssr8zr
Current NFT ID #342920 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
342920
Accession (UniProt):
Q9C3Y4
Name::
GTP-binding protein rhoA
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA NIDULANS (STRAIN FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139)

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 Q9C3Y4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C3Y4|RHOA_EMENI GTP-binding protein rhoA OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=rhoA PE=3 SV=1 MAEIRRKLVIVGDGACGKTCLLIVFSKGTFPEVYVPTVFENYVADVEVDGKHVELALWDTAGQEDYDRLRPLSYPDSHVILICFAVDSPDSLDNVQEKWISEVLHFCQGLPIILVGCKKDLRHDPKTIEELNKTSQKPVTPEQGEEVRKKIGAYKYLECSARTNEGVREVFEAATRAALLTKTHKSKKKCSIL