···
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authors: "Francois Berenger"
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maintainer: "unixjunkie@sdf.org"
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homepage: "https://github.com/UnixJunkie/molenc"
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bug-reports: "https://github.com/UnixJunkie/molenc/issues"
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dev-repo: "git+https://github.com/UnixJunkie/molenc.git"
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license: "BSD-3-Clause"
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build: ["dune" "build" "-p" name "-j" jobs]
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# ["cp" "bin/molenc_ph4_type_atoms.py" "%{bin}%/molenc_ph4_type_atoms.py"]
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["cp" "bin/molenc.sh" "%{bin}%/molenc.sh"]
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["cp" "bin/molenc_common.py" "%{bin}%/molenc_common.py"]
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["cp" "bin/molenc_lean.py" "%{bin}%/molenc_lean.py"]
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["cp" "bin/molenc_lizard.py" "%{bin}%/molenc_lizard.py"]
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["cp" "bin/molenc_scan.py" "%{bin}%/molenc_scan.py"]
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["cp" "bin/molenc_scan.sh" "%{bin}%/molenc_scan.sh"]
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["cp" "bin/molenc_standardize.py" "%{bin}%/molenc_standardize.py"]
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["cp" "bin/molenc_type_atoms.py" "%{bin}%/molenc_type_atoms.py"]
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["cp" "bin/smi2png.py" "%{bin}%/molenc_smi2png.py"]
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["cp" "bin/molenc_smisur.py" "%{bin}%/molenc_smisur.py"]
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["cp" "bin/molenc_panascan.py" "%{bin}%/molenc_panascan.py"]
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["cp" "bin/molenc_scaffold.py" "%{bin}%/molenc_scaffold.py"]
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["cp" "bin/molenc_deepsmi.py" "%{bin}%/molenc_deepsmi.py"]
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"batteries" {>= "3.2.0"}
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"dolog" {>= "5.0.0"}
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"minicli" {>= "5.0.0"}
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"parany" {>= "12.1.1"}
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synopsis: "Molecular encoder/featurizer using rdkit and OCaml"
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description: """Chemical fingerprints are lossy encodings of molecules.
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molenc allows to encode molecules using unfolded-counted fingerprints
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(i.e. a potentially very long but sparse vector of positive integers).
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Currently, Faulon fingerprints and atom pairs are supported.
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Currently, atom types are the quadruplet
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(#pi-electrons, element symbol, #HA neighbors, formal charge).
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In the future, pharmacophore features might be supported (a more abstract/fuzzy
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atom typing scheme).
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Faulon, J. L., Visco, D. P., & Pophale, R. S. (2003).
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The signature molecular descriptor.
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1. Using extended valence sequences in QSAR and QSPR studies.
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Journal of chemical information and computer sciences, 43(3), 707-720.
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Carhart, R. E., Smith, D. H., & Venkataraghavan, R. (1985).
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Atom pairs as molecular features in structure-activity studies:
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definition and applications.
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Journal of Chemical Information and Computer Sciences, 25(2), 64-73.
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Kearsley, S. K., Sallamack, S., Fluder, E. M., Andose, J. D., Mosley, R. T., &
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Sheridan, R. P. (1996).
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Chemical similarity using physiochemical property descriptors.
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Journal of Chemical Information and Computer Sciences, 36(1), 118-127.
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OpenSMILES specification. Craig A. James et. al. v1.0 2016-05-15.
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http://opensmiles.org/opensmiles.html
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src: "https://github.com/UnixJunkie/molenc/archive/v16.2.0.tar.gz"
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checksum: "md5=b220f63cadabbd908ea99932028f7ce9"