See also Computational-Biophysical Tools page.
(Note: some of the URLs have changed over time, so if you are redirected to a blank page just Google the name of the software/database/web-server to find the new URL)
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1. Protein & Enzyme Databases
I. Classification & General Info
- Proteopedia – 3D encyclopedia of proteins and other molecules
- SCOP– Structural Classification Of Proteins
- CATH (another classification database)
- GeneCards (database of human genes)
II. Sequence
- SwissProt – a comprehensive protein sequences database
- Pfam – sequence-based identification of domains
- PredictProtein – sequence-based prediction of protein features, e.g. secondary structures
III. Structure
IV. Enzymes
- BRENDA (a comprehensive enzyme information system)
- Enzyme nomenclature (E.C. system)
- Enzyme Classification Database
- MACiE (database of enzymatic reactions)
- IntEnz (integrated relational enzyme datablase)
- Catalytic Site Atlas (enzymes catalytic sites)
- EzCatDB (enzymes catalytic sites)
- EC-PDB (enzymes with known 3D structure)
- Thermodynamics of enzyme-catalyzed reactions
- PRECISE (predicted and consensus interaction sites in enzymes)
- More enzyme-related databases
V. Membrane Proteins
VI. Disease-related
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2. Small Molecules Databases
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3. Bioinformatic Tools
I. Sequence Analysis
- Blast (finding protein sequence homologs)
- ClustalW (multiple sequence alignment)
- ConSurf (locating evolutionary conserved regions in proteins) [see figure at bottom of page]
- Phylip (proteins evolutionary trees)
II. Secondary Structure Prediction
III. 3D Structure Prediction (fully-automated servers)
- AlphaFold2 (DeepMind):
- DM’s server
- DM’s AlphaFold Multimer (for small complexes, preferably dimers)
- DM’s database (pre-calculated structures)
- ColabFold (fast)
- UniFold (fast, predicts also multimers)
- MoLPC (for large complexes; uses AlphaFold+Monte Carlo simulations)
- RoseTTAFold (David Baker)
- OmegaFold (from primariy sequence, very fast)
- RGN2 (from primary sequence)
- ModWeb (Modeller for homology modeling, Andrej Sali)
- ROBETTA (David Baker)
- I-TASSER (Yang Zhang)
- HHPred (hidden Markov model method for finding homology modeling templates)
IV. Domain Structural Identification
- META-DP (Daniel Fischer’s Lab)
(more info on these and other structure prediction servers can be found in this paper by Daniel Fischer)
V. Protein Dynamics
VI. Protein Function Prediction
- 3D-Fun: Predicting protein function from structure (G. Vriend’s lab)
- PatchFinder: Identification of functional regions in proteins (N. Ben-Tal lab)
- iDBPs: Identification of DNA-binding proteins (N. Ben-Tal Lab)
- DNABindProt: Determination of potential DNA binding sites (T. Haliloglu Lab).
VII. Prediction of mutation outcome
- Deleterious/non-deleterious prediction:
- AlphaMissense (database by DeepMind)
- PredictSNP (Damborski lab)
- PolyPhen2
- Effect on protein stability