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- Introduction
- Molecular Biology Databases
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- NAR annual
compilation of Molecular Biology Databases
- National Center for
Biotechnology Information (NCBI) and specific NCBI sites:
- UniProt (curated protein information, includes SwissProt and TrEMBL).
- PDB (protein structures)
- InterPro (protein families and motifs)
- The Gene Ontology (molecular biology conceptual structure, with mappings to particular genes), see also OBO
- Santa Cruz "Golden Path" (configurable human genome browser)
- DIP (database of interacting proteins) and MINT, a competitor.
- Kyoto Encylopedia of Genes and Genomes (KEGG) (metabolic and signalling pathways)
- Enzyme DB (US mirror) (enzyme activities), and Reactome, a human-specific competitor. Also consider MetaCyc
- The Human Genome Nomenclature Committee (HGNC) for gene names.
- The Human Protein Reference Database (HPRD)
- Regulatory information databases, such as Transfac, COMPEL,
Jaspar,
and Mapper, EPD and CREB
- Information Hyperlinked over Proteins (IHOP) generated by text mining.
- Database Search and Sequence Alignment
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- Multiple Sequence Alignments
- Remember, none of these are optimal, so
looking at the various different alignments they produce can be
useful.
- Hidden Markov Models
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- Sequence Assembly
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- Gene Finding
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- Protein Structure Prediction
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- PDB, the database of protein structures.
- Protein fold class databases. Each uses somewhat different definitions of a class
- SCOP (First major classification)
- CATH (most used in CASP, and most current)
- Homestrad (most manually annotated)
- The CASP site, including CASP6 and the not yet published CASP7
- LiveBench a continuous assessment of many fully automated prediction approaches
- Automated prediction servers you can use:
- Molecular Mechanics, Dynamics and Docking
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- Computational Phylogeny
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- The open source PHYLIP
system. Parsimony, maximum likelihood and distance methods.
Bootstrapping and other useful tools, too.
- The semi-commercial PAUP*
system. Originally parsimony, but now parsimony, maximum
likelihood and distance methods.
- Genetic Analysis
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- Microarrays
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- Biomedical Language Processing
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- Web-based BLP systems:
- BLP competitions:
- Our BLP tools:
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