B9M9U5 C4-dicarboxylate transport protein MolNFT, Molecular NFT on GenesisL1

C4-dicarboxylate transport protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidotm4bjvdfn36hyxnpcrgq7ibxqzeg3jnmm2d7z2ntqdwoy4qv7y/metadata.json

IPFS of structure file:

bafybeigreepsess3ttlgehm3egbnwuekpjzpsmu5yfux7c6pr6joi27wse/AF-B9M9U5-F1-model_v2.pdb

First NFT owner address (eip-55):

0xdd2B5c5c9c628759C36F2a51Baa6a4669F366E6d

First NFT owner address (bech32):

genesis1m544chyuv2r4nsm09fgm4f4yv60nvmndwekuak

Current NFT ID #91748 owner (web3):

0xf87a97E0A4bB354D834857B14296240B167cbe70

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91748
Accession (UniProt):
B9M9U5
Name::
C4-dicarboxylate transport protein
Experimental Method:
Predicted structure
Sequence source:
Acidovorax ebreus (strain TPSY)

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 B9M9U5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9M9U5|DCTA_ACIET C4-dicarboxylate transport protein OS=Acidovorax ebreus (strain TPSY) OX=535289 GN=dctA PE=3 SV=1 MHAISSAAPAPSVRLPFYRQLYFQVVFAIIIGVLLGHFQPEYGAAMKPFGDAFIKLIKMIIAPVIFLTIVTGIASMSHLSAVGRVFGKAMAYFLTFSTLALVVGLVVANVMQPGTGMHINVAELDQTAVKGYVSKSHEMTLTGFALDIIPKTLISPFVGDNILQVLLVAVLFGVSLAMVGDAGKPILDFLDGLTKPVFKLVNIVMKAAPIGAFGAMAFTIGKFGLGSLVNLAELVLTFYITSAVFVLVVLGAVARACGFSVLKLIRYLKAELLLVLGTSSSESALPSLMEKMEKAGCSKSVVGLVVPTGYSFNLDGTNIYMTLAALFIAQATDTHLTLGHQIALLLVAMLSSKGAAGVTGAGFITLAATLAVVPEVPVAGMALILGVDRFMSECRSLTNFIGNAVATVVVSRWENALDADRLHRVLDGEAEFLPEPERAVEPVVLARHRA

B9M9U5 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B9M9U5 research and analysis (ICN3D with VR)

FASTA sequences

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