AlphaFold 3 Server

Google DeepMind’s latest protein structure prediction system. Predicts complexes of proteins, DNA, RNA, and small molecules — not just single chains.

What It Does

  • Predicts 3D structures of protein complexes (protein-protein, protein-DNA, protein-ligand)
  • Confidence metrics: pTM (overall), ipTM (interface), pLDDT (per-residue)
  • Supports custom sequences (mutants, truncations)
  • Up to 5,000 residues per job

How to Use

Web Interface

  1. Go to https://alphafoldserver.com
  2. Sign in with Google account
  3. Enter protein sequences (FASTA format)
  4. Add binding partners, DNA, RNA, ligands
  5. Submit job (takes minutes to hours)
  6. Download results (PDB + confidence JSON)

Job Submission Tips

  • Name jobs clearly: “STRC_E1659A_TMEM145_complex”
  • For mutants: modify the amino acid in the sequence directly
  • For truncations: paste only the fragment sequence
  • Run wild-type AND mutant side by side for comparison

Verified Status

VERIFIED — 16 STRC experiments run. Key results: WT pTM 0.63, E1659A pTM 0.64 (structure intact), mini-STRC retains TMEM145 binding (ipTM 0.43 vs 0.47 full-length).

STRC Research Usage

Key Results Archive

ExperimentpTMipTMFinding
Full STRC WT0.63Baseline structure
Full STRC E1659A0.64Structure-function paradox confirmed
Mini-STRC (616-1775) + TMEM1450.43Binding retained
Full STRC + TMEM1450.47Reference binding
Mini-STRC (700-1775) + TMEM1450.43Also works
Mini-STRC (700-1780) + TMEM1450.91Best binding — includes GPI anchor signal

Next Steps

  • STRC + cochlin/otogelin — predict interactions with other stereocilia proteins
  • STRC + lipid bilayer — model GPI-anchor attachment
  • Drug screening — test small molecule binding to E1659 pocket
  • Saturation mutagenesis done computationally via AlphaMissense (all 19 subs pathogenic), AF3 structural comparison would add 3D dimension

Connections