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Used review papers for tool gathering

Available prediction tools

Tool Reference Year Citations

(Google Scholar, Sep 2024)

Link & format Accessibility & licensing Input Prediction output Notes
RPISeq Muppirala et al.

https://doi.org/10.1186/1471-2105-12-489

2011 486 http://pridb.gdcb.iastate.edu/RPISeq/

web server

freeware RNA and protein sequence score result (interaction probability)
XRPI Jain et al.

https://doi.org/10.1038/s41598-018-27814-2

2018 22 https://universe.bits-pilani.ac.in/goa/aduri/xRPI

stand alone

http://xrpi.ddns.net/

web server

freeware RNA and protein sequence score result (interaction probability)
PLIP Adasme et al.

https://doi.org/10.1093/nar/gkab294

2021 1026 (1842 on previous publication from 2015) https://plip-tool.biotec.tu-dresden.de/plip-web/plip/index

stand alone and web server

freeware, GPL-2.0 license determined 3D structure / PDB file interacting residues of RNA and protein in structural context (+ bond type)
PRI Hotscore Krüger et al.

https://doi.org/10.1261/rna.066464.118

2018 73 https://pri-hotscore.labs.vu.nl/main.php

web server

freeware determined 3D structure / PDB file of RP-complex interacting residues of protein in structural context
PredPRBA Deng et al.

https://doi.org/10.3389/fgene.2019.00637

2019 34 http://predprba.denglab.org/

web server

freeware determined 3D structure / PDB file predicted binding free energy (ΔG) between protein and RNA chain of PDB complex gradient boosting regression tree models with learned features from protein and RNA sequence and structure (data set)
NucleicNet Lam et al.

https://doi.org/10.1038/s41467-019-12920-0

2019 95 http://www.cbrc.kaust.edu.sa/NucleicNet/

web server

https://github.com/jhmlam/NucleicNet/

stand alone

freeware, AGPL-3.0 license determined 3D structure / PDB file (protein or both) protein surface analysis:

Pymol session with top binding sites for RNA chains

logo: weblogo of RNA-protein complex

PRIdictor Tuvshinjargal et al.

https://doi.org/10.1016/j.biosystems.2015.10.004

2016 56 http://www.rnainter.org/PRIdictor/

web server

http://bclab.inha.ac.kr/pridictor/usage.html

web application

freeware RNA and protein sequence interaction probability per residue for RNA and protein
RsiteDB Shulman-Peleg et al.

https://doi.org/10.1016/j.jmb.2008.03.043

2008 52 http://bioinfo3d.cs.tau.ac.il/rsitedb/rsite_about.html

web server

freeware determined 3D structure / PDB file binding sites (based on other similar proteins) based on human/model organisms; only a limited dataset of PDB entries are covered
catRAPID Agostini et al.

https://doi.org/10.1093/bioinformatics/btt495

2013 272 http://service.tartaglialab.com/update_submission/423433/0cd5163900

web server

freeware, CC BY-NC-SA 4.0 RNA and protein sequence interaction probability per residue for RNA and protein (as heatmap) trained on model organisms/human
PRince Barik et al.

https://doi.org/10.1093/nar/gks535

2012 23 http://www.facweb.iitkgp.ac.in/~rbahadur/prince/home.html

web server

freeware determined 3D structure / PDB file lists (in PDB format) interface atoms for both protein and RNA chain + output parameters
hybridNAP Zhang et al.

https://doi.org/10.1093/bib/bbx168

2019 111 http://biomine.cs.vcu.edu/servers/hybridNAP/

web server

freeware, non-commercial protein sequence csv with propensity per amino acid to bind nucleic acids or protein (+ visualization in browser)
GraphProt Maticzka et al.

https://doi.org/10.1186/gb-2014-15-1-r17

2014 273 https://github.com/dmaticzka/GraphProt

http://www.bioinf.uni-freiburg.de/Software/GraphProt

stand alone

freeware, MIT license experimental datasets; RNA sequence binding site motifs for RNA sequence and secondary structure elements experimental dataset (RNAcompete, CLIP-Seq; self-supplied) with bound and unbound RBPs, included RNA secondary structure
HOCNNLB Zhang et al.

https://doi.org/10.1016/j.ab.2019.113364

2019 20 https://github.com/NWPU-903PR/HOCNNLB

stand alone

freeware, non-commercial lncRNA sequence dataset binding site for RBP on lncRNA sequences higher-order nucleotide encoding convolutional neural network-based method
BERT-RBP Yamada & Hamada

https://doi.org/10.1093/bioadv/vbac023

2022 31 https://github.com/kkyamada/bert-rbp

stand alone

freeware CLIP dataset (RNA sequences) RBP-binding property of RNA sequences (yes or no) data-trained model, analyses transcript region type, RNA secondary structure elements and binding motifs
PredRBR Tang et al.

https://doi.org/10.1186/s12859-017-1879-2

2017 43 http://denglab.org/PredRBR/

stand alone

freeware determined 3D structure / PDB file (has to cover both protein and RNA) predicts RNA-binding residues in the protein structure sequential and spatial features are included in the model; older idea from PredPRBA people
PRIME3D2D Xie et al.

https://doi.org/10.1038/s42003-020-1114-y

2020 14 http://www.rnabinding.com/PRIME-3D2D/

web server

freeware determined 3D structure / PDB file for protein and RNA each nucleotides predicted as binding site for the protein get labeled with “+” structures used, RNA is “reduced” to secondary structure information
aPRBind Liu et al.

https://doi.org/10.1093/bioinformatics/btaa747

2021 23 https://github.com/ChunhuaLiLab/aPRbind

stand alone

freeware protein sequence RNA-binding residues in protein structure model CNN model with sequence features, evolutionary information, residue properties & propensities (from protein structure model)
RBPPred Zhang & Liu

https://doi.org/10.1093/bioinformatics/btw730

2017 95 http://rnabinding.com/RBPPred.html

stand alone

freeware protein sequence(s) predicts whether the protein binds RNAs in general (probability) model based on evolutionary information and physicochemical properties of proteins, SVM classifier
RCK Orenstein et al.

https://doi.org/10.1093/bioinformatics/btw259

2016 79 http://rck.csail.mit.edu/

stand alone

freeware RPI dataset: set of RNA sequences with estimated binding affinities + RNA secondary structure annotations of sequences RNA-protein motif preference (for short RNA transcripts each a binding “intensity” is given) trained on RNAcompete experimental data; k-mer model with local secondary structure preferences; extension to RNAcontext (adding k-mer approach)
MEME Bailey et al.

https://doi.org/10.1093/nar/gkv416

2015 3255 https://meme-suite.org/meme/tools/meme

web server and stand alone

freeware, limited non-commercial use license (one or) multiple sequences where common motif should be found motif with weblogo and position in sequence (DNA, RNA, protein) not necessarily interaction related

add-on: MEMERIS

https://doi.org/10.1093/nar/gkl544

DRNApred Yan & Kurgan

https://doi.org/10.1093/nar/gkx059

2017 204 http://biomine.cs.vcu.edu/servers/DRNApred/

web server

freeware, non-commercial protein sequence txt file with interaction probability for DNA/RNA per amino acid
COACH Yang et al.

https://doi.org/10.1093/bioinformatics/btt447

2013 974 https://zhanggroup.org/COACH/

web server

freeware determined 3D structure / PDB file or protein sequence binding site recognition based on homologous template structures further versions:

COACH-D

https://doi.org/10.1093/nar/gky439

NucBind

https://doi.org/10.1093/bioinformatics/bty756

aaRNA Li et al.

https://doi.org/10.1093/nar/gku681

2014 74 http://sysimm.ifrec.osaka-u.ac.jp/aarna/

web server

freeware determined 3D structure / PDB file or protein sequence binary propensity and di-nucleotide propensity of each residue (amino acid) to bind RNA in general, also structural visualization neural network trained on RNA-RBP-complex datasets
Deepnet-RBP Zhang et al.

https://doi.org/10.1093/nar/gkv1025

2015 301 https://github.com/thucombio/deepnet-rbp

stand alone

freeware, limited use license CLIP dataset (RNA sequences) RNA sequence and 3D structure motifs for RBP binding site preferences multimodal deep learning model based on experimentally identified RBP binding sites (CLIP-seq)
DeepBoost Li et al.

https://doi.org/10.1093/nar/gkx492

2017 22 http://github.com/dongfanghong/deepboost

stand alone

freeware RNA-protein data set (experimental) binding site preferences
DeepSite Jiménez et al.

https://doi.org/10.1093/bioinformatics/btx350

2017 582 https://playmolecule.com/deepsite/

web server

freeware determined 3D structure / PDB file binding site/pocket (highlighted in spatial structure) general ligand binding site prediction, not exclusively RNA
SSMART Munteanu et al.

https://doi.org/10.1093/bioinformatics/bty404

2018 23 https://ohlerlab.mdc-berlin.de/software/SSMART_137/

stand alone

freeware RNA-protein data set (experimental) RNA motif (weblogo) RNA motif finder in RBP
ThermoNet Su et al.

https://doi.org/10.1371/journal.pcbi.1007283

2019 25 https://github.com/suyufeng/ThermoNet

stand alone

freeware, limited use license CLIP dataset (RNA sequences) binding intensity for the RNA sequence - (k-mer-)embedding convolutional neural network + thermodynamics of secondary structures
iCapsule Shen et al.

https://doi.org/10.1109/TCBB.2019.2943465

2019 25 https://github.com/naturomics/CapsNet-Tensorflow

stand alone

freeware, Apache-2.0 license RNA-protein data set (experimental) motif (weblogo) based on multiple modifications of Capsnet
ProbeRating Yang et al.

https://doi.org/10.1093/bioinformatics/btaa580

2020 8 https://github.com/syang11/ProbeRating

stand alone

freeware, MIT license RNA-protein data set binding profiles for RBPs
RPI-Net Yan et al.

https://doi.org/10.1093/bioinformatics/btaa456

2020 40 https://github.com/HarveyYan/RNAonGraph

stand alone

freeware, MIT license CLIP dataset (RNA sequences) RNA secondary structure models and motifs
GraphBind Xia et al.

https://doi.org/10.1093/nar/gkab044

2021 87 http://www.csbio.sjtu.edu.cn/bioinf/GraphBind/

web server and stand alone

freeware, GPLv3.0, CC BY 4.0 determined 3D structure / PDB file (protein) identify RNA-binding residues in protein (highlighted in protein structure on website, csv file to download)
DeepCLIP Grønning et al.

https://doi.org/10.1093/nar/gkaa530

2020 83 http://deepclip.compbio.sdu.dk

web server

https://github.com/deepclip/deepclip

stand alone

freeware, MIT license CLIP datasets; RNA sequence binding profiles and motifs for RNA sequence (i.e. potential binding sites) pre-trained models based on experimental datasets (CLIP-Seq, iCLIP, etc)
PrismNet Sun et al.

https://doi.org/10.1038/s41422-021-00476-y

2021 86 http://prismnet.zhanglab.net/

web server

https://github.com/kuixu/PrismNet

stand alone

freeware, MIT license RNA-protein data set (experimental) predict dynamic RBP binding across sequence, motif visualization
iDeepS Pan et al.

https://doi.org/10.1186/s12864-018-4889-1

2018 249 https://github.com/xypan1232/iDeepS

stand alone

freeware, CC0 1.0 RNA-protein data set (experimental) / RNA sequence (prediction) binding site motif previous version: iDeepE https://doi.org/10.1093/bioinformatics/bty364
3dRPC Huang et al.

https://doi.org/10.1038/srep01887

2013 71 http://biophy.hust.edu.cn/new/3dRPC/create

web server

freeware, non-commercial determined 3D structure / PDB file for protein and RNA each RNA and protein docking to a complex + scoring dock RNA and protein structure
KYG Kim et al.

https://doi.org/10.1093/nar/gkl819

2006 147 http://cib.cf.ocha.ac.jp/KYG/

web server

freeware determined 3D structure / PDB file (protein) + MSA (depending on used method) RNA interface residue prediction
OPRA Pérez-Cano & Fernández-Recio

https://doi.org/10.1002/prot.22527

2009 106 https://life.bsc.es/pid/opra/default/index

web server

freeware, academic access only determined 3D structure / PDB file binding potential per residue (protein) to bind RNA (annotated pdb file and score result file)
RBPmap Paz et al.

https://doi.org/10.1093/nar/gku406

2014 510 http://rbpmap.technion.ac.il/index.html

web server and stand alone

freeware RNA sequence(s) and an RBP motif RBP-binding motifs in RNA (potential binding sites for RBP)
IPMiner Pan et al.

https://doi.org/10.1186/s12864-016-2931-8

2016 138 https://github.com/xypan1232/IPMiner

stand alone

freeware, CC0 1.0 RNA-protein dataset; RNA and protein sequences interaction score for RNA and protein
DLPRB Ben-Bassat et al.

https://doi.org/10.1093/bioinformatics/bty600

2018 87 https://github.com/ilanbb/dlprb

stand alone

freeware, MIT license RNA-protein dataset (experimental), i.e.: RNA sequence file with binding affinity + file with structural information (vector of 5 possible structural elements for each position) binding site preference visualized as RNA sequence and structure logos CNN
ssHMM Heller et al.

https://doi.org/10.1093/nar/gkx756

2017 40 https://github.molgen.mpg.de/heller/ssHMM

stand alone

freeware, GPL-3.0 license RNA-binding protein data (e.g. CLIP-Seq) sequence - structure motifs/preferences of RNAs (for the RBPs) as a graph hidden Markov model (HMM) with Gibbs sampling
beRBP Yu et al.

https://doi.org/10.1093/nar/gky1294

2019 39 http://bioinfo.vanderbilt.edu/beRBP/predict.html freeware RNA sequence(s) + PWM or sequence of RBP RBP-binding sites/motifs in RNA sequence limited to a trained selection of human RBPs

Unavailable prediction tools

Tool Reference Year Tool link Info
RPIFSE Wang et al.

https://doi.org/10.1016/j.jtbi.2018.10.029

2019 - not accessible / no link available
DeepRKE Deng et al.

https://doi.org/10.1109/BIBM47256.2019.8983345

2019 - not accessible / no link available
RPI-SAN Yi et al.

https://doi.org/10.1016/j.omtn.2018.03.001

2018 - not accessible / no link available
CTF / CGR Wang & Wu

https://doi.org/10.1080/21655979.2018.1470721

2018 - not accessible / no link available
ELM Wang et al.

https://doi.org/10.1109/TCBB.2018.2874267

2018 - not accessible / no link available
LGBM Zhan et al.

https://doi.org/10.3389/fgene.2018.00458

2018 - not accessible / no link available
Oli Livi & Blanzieri

https://doi.org/10.1186/1471-2105-15-123

2014 - not accessible / no link available
ProteRNA Huang et al.

https://doi.org/10.1186/1471-2164-11-S4-S2

2010 - not accessible / no link available
RNAProB Cheng et al.

https://doi.org/10.1186/1471-2105-9-S12-S6

2008 - not accessible / no link available
Struct-NB Towfic et al.

https://doi.org/10.1504/ijdmb.2010.030965

2010 - not accessible / no link available
RNAcontext Kazan et al.

https://doi.org/10.1371/journal.pcbi.1000832

2010 http://morrislab.med.utoronto.ca/software not maintained / accessible anymore
RNAcommender Corrado et al.

https://doi.org/10.1093/bioinformatics/btw517

2016 http://rnacommender.disi.unitn.it/

https://github.com/gianlucacorrado/RNAcommender

not maintained / accessible anymore
lncPRO Lu et al.

https://doi.org/10.1186/1471-2164-14-651

2013 http://bioinfo.bjmu.edu.cn/lncpro/ not maintained / accessible anymore
CFRP Dai et al.

https://doi.org/10.3389/fgene.2019.00018

2019 http://www.dailab.cn/CFRP/index.html not maintained / accessible anymore
RPiRLS Shen et al.

https://doi.org/10.3390/molecules23030540

2018 http://bmc.med.stu.edu.cn/RPiRLS not maintained / accessible anymore
RPI-Bind Luo et al.

https://doi.org/10.1038/s41598-017-00795-4

2017 http://ctsb.is.wfubmc.edu/publications/RPI-Bind-Pred.php not maintained / accessible anymore
RNAProSite Sun et al.

https://doi.org/10.1186/s12859-016-1110-x

2016 http://lilab.ecust.edu.cn/NABind not maintained / accessible anymore
rpiCOOL Akbaripour-Elahabad et al.

https://doi.org/10.1016/j.jtbi.2016.04.025

2016 http://biocool.ir/rpicool.html not maintained / accessible anymore
RPI-Pred Suresh et al.

https://doi.org/10.1093/nar/gkv020

2015 http://ctsb.is.wfubmc.edu/projects/rpi-pred not maintained / accessible anymore
DeepBind Alipanahi et al.

https://doi.org/10.1038/nbt.3300

2015 http://tools.genes.toronto.edu/deepbind/ not maintained / accessible anymore
PRIPU Cheng et al.

https://doi.org/10.1142/S021972001541005X

2015 http://admis.fudan.edu.cn/projects/pripu.htm not maintained / accessible anymore
RBscore Miao & Westhof

https://doi.org/10.1093/nar/gkv446

2015 http://ahsoka.u-strasbg.fr/rbscore/ not maintained / accessible anymore
RBRIdent Xiong et al.

https://doi.org/10.1002/prot.24806

2015 http://166.111.152.91/RBRIdent not maintained / accessible anymore
RNABindRPlus Walia et al.

https://doi.org/10.1371/journal.pone.0097725

2014 http://einstein.cs.iastate.edu/RNABindRPlus/ not maintained / accessible anymore
RBRDetector Yang et al.

https://doi.org/10.1002/prot.24610

2014 http://ibi.hzau.edu.cn/rbrdetector not maintained / accessible anymore
SRCpred Fernandez et al.

https://doi.org/10.1186/1471-2105-12-S13-S5

2011 http://tardis.nibio.go.jp/netasa/srcpred not maintained / accessible anymore
DRNA / SPOT Zhao et al.

https://doi.org/10.1093/nar/gkq1266

2011 http://sparks.informatics.iupui.edu/spot not maintained / accessible anymore
Predict_RBP Wang et al.

https://doi.org/10.1007/s00726-010-0639-7

2010 http://cic.scu.edu.cn/bioinformatics/Predict_RBP.rar not maintained / accessible anymore
NAPS Carson et al.

https://doi.org/10.1093/nar/gkq361

2010 http://proteomics.bioengr.uic.edu/NAPS not maintained / accessible anymore
PiRaNhA Murakami et al.

https://doi.org/10.1093/nar/gkq474

2010 http://www.bioinformatics.sussex.ac.uk/PIRANHA not maintained / accessible anymore
BindN+ Wang et al.

https://doi.org/10.1186/1752-0509-4-S1-S3

2010 http://bioinfo.ggc.org/bindn+/ not maintained / accessible anymore
PRBR Ma et al.

https://doi.org/10.1002/prot.22958

2010 http://www.cbi.seu.edu.cn/PRBR/ not maintained / accessible anymore
PRNA Liu et al.

https://doi.org/10.1093/bioinformatics/btq253

2010 http://www.aporc.org/doc/wiki/PRNA not maintained / accessible anymore
PRIP Maetschke & Yuan

https://doi.org/10.1186/1471-2105-10-341

2009 https://qfab.org/PRIP not maintained / accessible anymore
PRINTR Wang et al.

https://doi.org/10.1007/s00726-007-0634-9

2008 http://210.42.106.80/printr/ not maintained / accessible anymore
RISP Tong et al.

https://doi.org/10.1016/j.cmpb.2007.12.003

2008 http://grc.seu.edu.cn/RISP not maintained / accessible anymore
Pprint Kumar et al.

https://doi.org/10.1002/prot.21677

2007 http://www.imtech.res.in/raghava/pprint/ not maintained / accessible anymore
DBS-Pred Ahmad et al.

https://doi.org/10.1093/bioinformatics/btg432

2004 http://www.netasa.org/dbs-pred/ not maintained / accessible anymore
DR_bind1 Chen et al.

https://doi.org/10.1093/nar/gkt1299

2014 https://drbind.limlab.ibms.sinica.edu.tw/ tool does not perform