---
name: "prof"
section: "1"
platform: "linux"
package: "profphd"
version: "1.0.42-3"
release: "Debian 10 (Buster)"
platforms: ["linux"]
url: "https://new.carta.tech/prof"
---

# prof(1)

secondary structure and solvent accessibility predictor

## NAME

prof - secondary structure and solvent accessibility predictor

## SYNOPSIS

prof \[*INPUTFILE*+\] \[OPTIONS\]

## DESCRIPTION

Secondary structure is predicted by a system of neural networks rating at an expected average accuracy \> 72% for the three states helix, strand and loop (Rost & Sander, PNAS, 1993 , 90, 7558-7562; Rost & Sander, JMB, 1993 , 232, 584-599; and Rost & Sander, Proteins, 1994 , 19, 55-72; evaluation of accuracy). Evaluated on the same data set, PROFsec is rated at ten percentage points higher three-state accuracy than methods using only single sequence information, and at more than six percentage points higher than, e.g., a method using alignment information based on statistics (Levin, Pascarella, Argos & Garnier, Prot. Engng., 6, 849-54, 1993). PHDsec predictions have three main features:

- 1\. improved accuracy through evolutionary information from multiple sequence alignments

  - 2\. improved beta-strand prediction through a balanced training procedure

  - 3\. more accurate prediction of secondary structure segments by using a multi-level system

  Solvent accessibility is predicted by a neural network method rating at a correlation coefficient (correlation between experimentally observed and predicted relative solvent accessibility) of 0.54 cross-validated on a set of 238 globular proteins (Rost & Sander, Proteins, 1994, 20, 216-226; evaluation of accuracy). The output of the neural network codes for 10 states of relative accessibility. Expressed in units of the difference between prediction by homology modelling (best method) and prediction at random (worst method), PROFacc is some 26 percentage points superior to a comparable neural network using three output states (buried, intermediate, exposed) and using no information from multiple alignments.

Transmembrane helices in integral membrane proteins are predicted by a system of neural networks. The shortcoming of the network system is that often too long helices are predicted. These are cut by an empirical filter. The final prediction (Rost et al., Protein Science, 1995, 4, 521-533; evaluation of accuracy) has an expected per-residue accuracy of about 95%. The number of false positives, i.e., transmembrane helices predicted in globular proteins, is about 2%. The neural network prediction of transmembrane helices (PHDhtm) is refined by a dynamic programming-like algorithm. This method resulted in correct predictions of all transmembrane helices for 89% of the 131 proteins used in a cross-validation test; more than 98% of the transmembrane helices were correctly predicted. The output of this method is used to predict topology, i.e., the orientation of the N-term with respect to the membrane. The expected accuracy of the topology prediction is \> 86%. Prediction accuracy is higher than average for eukaryotic proteins and lower than average for prokaryotes. PHDtopology is more accurate than all other methods tested on identical data sets.

If no output file option (such as **--fileRdb** or **--fileOut**) is given the RDB formatted output is written into *./INPUTFILENAME.prof* where 'prof' replaces the extension of the input file.  In lack of extension '.prof' is appended to the input file name.

### Output format

The RDB format is self-annotating, see example outputs in */share/profphd/prof/exa*.

## REFERENCES

- Rost, B. and Sander, C. (1994a). Combining evolutionary information and neural networks to predict protein secondary structure. Proteins, 19(1), 55-72.

  - Rost, B. and Sander, C. (1994b). Conservation and prediction of solvent accessibility in protein families. Proteins, 20(3), 216-26.

  - Rost, B., Casadio, R., Fariselli, P., and Sander, C. (1995). Transmembrane helices predicted at 95% accuracy. Protein Sci, 4(3), 521-33.

  ## OPTIONS

See each keyword for more help.  Most of these are likely to be broken.

- a

  alternative connectivity patterns (default=3)

- 3

  predict sec + acc + htm

- acc

  predict solvent accessibility, only

- ali

  add alignment to 'human-readable' PROF output file(s)

- arch

  system architecture (e.g.: SGI64\|SGI5\|SGI32\|SUNMP\|ALPHA)

- ascii

  write 'human-readable' PROF output file(s)

- best

  PROF with best accuracy and longest run-time

- both

  predict secondary structure and solvent accessibility

- data

  data=\<all\|brief\|normal\|detail\>  for HTML out: only those parts of predictions written

- debug

  keep most intermediate files, print debugging messages

- dirWork

  work directory, default: a temporary directory from File::Temp::tempdir. Must be fully qualified path.

  Known to work.

- doEval

  DO evaluation for list (only for known structures and lists)

- doFilterHssp

  filter the input HSSP file       (excluding some pairs)

- doHtmfil

  DO filter the membrane prediction                  (default)

- doHtmisit

  DO check strength of predicted membrane helix      (default)

- doHtmref

  DO refine the membrane prediction                  (default)

- doHtmtop

  DO membrane helix topology                         (default)

- dssp

  convert PROF into DSSP format

- expand

  expand insertions when converting output to MSF format

- fast

  PROF with lowest accuracy and highest speed

- fileCasp

  name of PROF output in CASP format              (file.caspProf)

- fileDssp

  name of PROF output in DSSP format              (file.dsspProf)

- fileHtml

  name of PROF output in HTML format              (file.htmlProf)

- fileMsf

  name of PROF output in MSF format               (file.msfProf)

- fileNotHtm

  name of file flagging that no membrane helix was found

- fileOut

  name of PROF output in RDB format               (file.rdbProf)

  Known to work.

- fileProf

  name of PROF output in human readable format    (file.prof)

  Broken.

- fileRdb

  name of PROF output in RDB format               (file.rdbProf)

  Known to work.

- fileSaf

  name of PROF output in SAF format               (file.safProf)

- filter

  filter the input HSSP file       (excluding some pairs)

- good

  PROF with good accuracy and moderate speed

- graph

  add ASCII graph to 'human-readable' PROF output file(s)

- htm

  use: 'htm=\<N\|0.N\>' gives minimal transmembrane helix detected default is 'htm=8' (resp. htm=0.8)  smaller numbers more false positives and fewer false negatives!

- html argument

  'hmtl' or 'html=\<all\|body\|head\>' write HTML format of prediction 'html' will result in that the PROF output is converted to HTML 'html=body' restricts HTML file to the HTML\_BODY tag part 'html=head' restricts HTML file to the HTML\_HEADER tag part 'html=all'  gives both HEADER and BODY

- keepConv

  keep the conversion of the input file to HSSP format

- keepFilter argument

  \<\*\|doKeepFilter=1\>     keep the filtered HSSP file

- keepHssp argument

  \<\*\|doKeepHssp=1\>         keep the intermediate HSSP file

- keepNetDb argument

  \<\*\|doKeepNetDb=1\>       keep the intermediate DbNet file(s)

- list argument

  \<\*\|isList=1\>      input file is list of files

- msf

  convert PROF into MSF format

- nice

  give 'nice-D' to set the nice value (priority) of the job

- noProfHead

  do NOT copy file with tables into local directory

- noSearch

  short for doSearchFile=0, i.e. no searching of DB files

- noascii

  surpress writing ASCII (i.e. human readable) result files

- nohtml

  surpress writing HTML result files

- nonice

  job will not be niced, i.e. not run with lower priority

- notEval

  DO NOT check accuracy even when known structures

- notHtmfil

  do NOT filter the membrane prediction

- notHtmisit

  do NOT check whether or not membrane helix strong enough

- notHtmref

  do NOT refine the membrane prediction

- notHtmtop

  do NOT membrane helix topology

- nresPerLineAli

  Number of characters used for MSF file. Default: 50.

- numresMin

  Minimal number of residues to run network, otherwise prd=symbolPrdShort. Default: 9.

- optJury

  Adds PHD to jury. Default: \`normal,usePHD'.

  Many other parameters change the default for this one as a side-effect, the list is not comprehensive:

  phd, nophd, /^para(3\|Both\|Sec\|Acc\|Htm\|CapH\|CapE\|CapHE)/, /^para?/, jct

- para3

  Parameter file for sec+acc+htm. Default: \`\<DIRPROF\>/net/PROFboth\_best.par'.

- paraAcc

  Parameter file for acc. Default: \`\<DIRPROF\>/net/PROFacc\_best.par'.

- paraBoth

  Parameter file for sec+acc. Default: \`\<DIRPROF\>/net/PROFboth\_best.par'.

- paraSec

  Parameter file for sec. Default: \`\<DIRPROF\>/net/PROFsec\_best.par'.

- riSubAcc

  Minimal reliability index (RI) for subset PROFacc. Default: 4.

- riSubSec

  Minimal reliability index (RI) for subset PROFsec. Default: 5.

- riSubSym

  Symbol for residues predicted with RI \< riSubSec/Acc. Default: \`.'.

- s\_k\_i\_p

  problems, manual, hints, notation, txt, known, DONE, Date, date, aa, Lhssp, numaa, code

- saf

  convert PROF into SAF format

- scrAddHelp

  - scrGoal

  neural network switching

- scrHelpTxt

  Input file formats accepted:       hssp,dssp,msf,saf,fastamul,pirmul,fasta,pir,gcg,swiss

- scrIn

  list\_of\_files (or single file) parameter\_file

- scrName

  prof

- scrNarg

  2

- sec

  predict secondary structure,   only

- silent

  no information written to screen - this is the default

- skipMissing

  do not abort if input file missing!

- sourceFile

  prof

- test

  is just a test (faster)

- translate-jobid-in-param-values

  String 'jobid' gets substituted with `$par`{jobid}

- tst

  quick run through program, low accuracy

- user

  user name

- \--version

  Print version

## AUTHOR

B. Rost, Sander C, Fariselli P, Casadio R, Liu J, Yachdav G, Kajan L.

## EXAMPLES

- Prediction from alignment in HSSP file for best results

  ```
   prof /share/profphd/prof/exa/1ppt.hssp fileRdb=/tmp/1ppt.hssp.prof
  ```

- Prediction from a single sequence

  ```
   prof /share/profphd/prof/exa/1ppt.f fileRdb=/tmp/1ppt.f.rdbProf
  ```

- phd.pl invocation

  ```
   /share/profphd/prof/embl/phd.pl /share/profphd/prof/exa/1ppt.hssp htm fileOutPhd=/tmp/query.phdPred  fileOutRdb=/tmp/query.phdRdb  fileNotHtm=/tmp/query.phdNotHtm
  ```

## ENVIRONMENT

- PROFPHDDIR

  Override package prof package dir */share/profphd*.

- RGUTILSDIR

  Override location of librg-utils-perl */share/librg-utils-perl*.

## FILES

- *\*.rdbProf*

  default output file extension

- */share/profphd/prof*

  default data directory

## BUGS

Please report bugs at \<https://rostlab.org/bugzilla3/enter\_bug.cgi?product=profphd\>.

- Prediction from HSSP file fails when residue lines with exclamation marks \`!' are present:

  Use 'optJury=normal' and 'both' like this:

  ```
   prof /tmp/1a3q.hssp fileRdb=/tmp/1a3q.hssp.profRdb optJury=normal both
  ```

## SEE ALSO

- Main website

  \<http://www.predictprotein.org/\>

- Documentation

  \<http://www.predictprotein.org/docs.php\>

- Community website

  \<http://groups.google.com/group/PredictProtein\>

- FTP

  \<ftp://rostlab.org/pub/cubic/downloads/prof\>

- Newsgroups

  \<http://groups.google.com/group/PredictProtein\>
