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Name Description Knots [Note 1]Links References trRosettaRNA: trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that the automated predictions ...
[2] ATGpr: Identifies translational initiation sites in cDNA sequences: Human [3] Prodigal: Its name stands for Prokaryotic Dynamic Programming Genefinding Algorithm. It is based on log-likelihood functions and does not use Hidden or Interpolated Markov Models. Prokaryotes, Metagenomes (metaProdigal) [4] AUGUSTUS: Eukaryote gene predictor ...
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
The EMD F40PH is a four-axle 3,000–3,200 hp (2.2–2.4 MW) B-B diesel-electric locomotive built by General Motors Electro-Motive Division in several variants from 1975 to 1992. Intended for use on Amtrak 's short-haul passenger routes, it became the backbone of Amtrak's diesel fleet after the failure of the EMD SDP40F .
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
Name Method description Type Link Initial release RaptorX-SS8 : predict both 3-state and 8-state secondary structure using conditional neural fields from PSI-BLAST profiles ...
Disprot [4] 2019 NetSurfP-2.0 [5] 2019 Secondary structure and disorder prediction method Long Short-Term Memory and Convolutional Neural Networks Yes No SPOT-Disorder-Single [6] 2018 Per-residue disorder predictor for a single-sequence input (i.e. no MSA profile).
Branch prediction attempts to guess whether a conditional jump will be taken or not. Branch target prediction attempts to guess the target of a taken conditional or unconditional jump before it is computed by decoding and executing the instruction itself. Branch prediction and branch target prediction are often combined into the same circuitry.