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diff --git a/README.md b/README.md
@@ -23,9 +23,9 @@ The [CADD Vault](https://drugbud-suite.github.io/CADD_Vault/) includes resources
 - Machine Learning Applications in Drug Design
 - Fragment-Based Drug Design (FBDD)
 - Datasets for Drug Design
-Number of publications: 1086  
-Number of code repositories: 933  
-Number of webserver links: 140  
+Number of publications: 1111  
+Number of code repositories: 946  
+Number of webserver links: 147  
 Number of webserver links: 123  
 
 

diff --git a/cadd_vault_data.xlsx b/cadd_vault_data.xlsx
diff --git a/docs/ADMET/Pretrained Models.md b/docs/ADMET/Pretrained Models.md
@@ -5,27 +5,27 @@ icon: material/needle
 
 ## **BBB**
 - **BBB-score**: The Blood–Brain Barrier (BBB) Score  
-		[![Code](https://img.shields.io/github/stars/gkxiao/BBB-score?style=for-the-badge&logo=github)](https://github.com/gkxiao/BBB-score) [![Last Commit](https://img.shields.io/github/last-commit/gkxiao/BBB-score?style=for-the-badge&logo=github)](https://github.com/gkxiao/BBB-score) [![Publication](https://img.shields.io/badge/Publication-Citations:198-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jmedchem.9b01220) 
+		[![Code](https://img.shields.io/github/stars/gkxiao/BBB-score?style=for-the-badge&logo=github)](https://github.com/gkxiao/BBB-score) [![Last Commit](https://img.shields.io/github/last-commit/gkxiao/BBB-score?style=for-the-badge&logo=github)](https://github.com/gkxiao/BBB-score) [![Publication](https://img.shields.io/badge/Publication-Citations:203-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jmedchem.9b01220) 
 
 ## **CYP450**
 - **D-CyPre**: Tool for Accurately Predicting the Site of Metabolism of Human Cytochrome P450 Metabolism  
-		[![Code](https://img.shields.io/github/stars/67520/D-CyPre?style=for-the-badge&logo=github)](https://github.com/67520/D-CyPre) [![Last Commit](https://img.shields.io/github/last-commit/67520/D-CyPre?style=for-the-badge&logo=github)](https://github.com/67520/D-CyPre) [![Publication](https://img.shields.io/badge/Publication-Citations:20-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.1c00144) 
+		[![Code](https://img.shields.io/github/stars/67520/D-CyPre?style=for-the-badge&logo=github)](https://github.com/67520/D-CyPre) [![Last Commit](https://img.shields.io/github/last-commit/67520/D-CyPre?style=for-the-badge&logo=github)](https://github.com/67520/D-CyPre) [![Publication](https://img.shields.io/badge/Publication-Citations:22-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.1c00144) 
 - **GTransCYPs**: graph transformer neural network with attention pooling for reliably predicting CYP450 inhibitors  
 		[![Code](https://img.shields.io/github/stars/zonwoo/GTransCYPs?style=for-the-badge&logo=github)](https://github.com/zonwoo/GTransCYPs) [![Last Commit](https://img.shields.io/github/last-commit/zonwoo/GTransCYPs?style=for-the-badge&logo=github)](https://github.com/zonwoo/GTransCYPs) [![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1186/s13321-024-00915-z) 
 
 ## **General**
 - **ADMET_XGBoost**: ADMETboost: a web server for accurate ADMET prediction  
-		[![Code](https://img.shields.io/github/stars/smu-tao-group/ADMET_XGBoost?style=for-the-badge&logo=github)](https://github.com/smu-tao-group/ADMET_XGBoost) [![Last Commit](https://img.shields.io/github/last-commit/smu-tao-group/ADMET_XGBoost?style=for-the-badge&logo=github)](https://github.com/smu-tao-group/ADMET_XGBoost) [![Publication](https://img.shields.io/badge/Publication-Citations:36-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1007/s00894-022-05373-8) 
+		[![Code](https://img.shields.io/github/stars/smu-tao-group/ADMET_XGBoost?style=for-the-badge&logo=github)](https://github.com/smu-tao-group/ADMET_XGBoost) [![Last Commit](https://img.shields.io/github/last-commit/smu-tao-group/ADMET_XGBoost?style=for-the-badge&logo=github)](https://github.com/smu-tao-group/ADMET_XGBoost) [![Publication](https://img.shields.io/badge/Publication-Citations:37-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1007/s00894-022-05373-8) 
 - **admet-ai**: ADMET-AI: A machine learning ADMET platform for evaluation of large-scale chemical libraries  
-		[![Code](https://img.shields.io/github/stars/swansonk14/admet_ai?style=for-the-badge&logo=github)](https://github.com/swansonk14/admet_ai) [![Last Commit](https://img.shields.io/github/last-commit/swansonk14/admet_ai?style=for-the-badge&logo=github)](https://github.com/swansonk14/admet_ai) [![Publication](https://img.shields.io/badge/Publication-Citations:8-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/bioinformatics/btae416) 
+		[![Code](https://img.shields.io/github/stars/swansonk14/admet_ai?style=for-the-badge&logo=github)](https://github.com/swansonk14/admet_ai) [![Last Commit](https://img.shields.io/github/last-commit/swansonk14/admet_ai?style=for-the-badge&logo=github)](https://github.com/swansonk14/admet_ai) [![Publication](https://img.shields.io/badge/Publication-Citations:15-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/bioinformatics/btae416) 
 - **ADMETlab**:   
-		[![Code](https://img.shields.io/github/stars/ifyoungnet/ADMETlab?style=for-the-badge&logo=github)](https://github.com/ifyoungnet/ADMETlab) [![Last Commit](https://img.shields.io/github/last-commit/ifyoungnet/ADMETlab?style=for-the-badge&logo=github)](https://github.com/ifyoungnet/ADMETlab) [![Publication](https://img.shields.io/badge/Publication-Citations:50-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae236) 
+		[![Code](https://img.shields.io/github/stars/ifyoungnet/ADMETlab?style=for-the-badge&logo=github)](https://github.com/ifyoungnet/ADMETlab) [![Last Commit](https://img.shields.io/github/last-commit/ifyoungnet/ADMETlab?style=for-the-badge&logo=github)](https://github.com/ifyoungnet/ADMETlab) [![Publication](https://img.shields.io/badge/Publication-Citations:70-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae236) 
 - **ADMETlab3.0**:   
-	[![Publication](https://img.shields.io/badge/Publication-Citations:53-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae236) [![Link](https://img.shields.io/badge/Link-offline-red?style=for-the-badge&logo=xamarin&logoColor=red)](https://admetlab3.scbdd.com) 
+	[![Publication](https://img.shields.io/badge/Publication-Citations:70-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae236) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://admetlab3.scbdd.com) 
 - **ChemMORT**: ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimization  
 		[![Code](https://img.shields.io/github/stars/leelasd/ChemMORT?style=for-the-badge&logo=github)](https://github.com/leelasd/ChemMORT) [![Last Commit](https://img.shields.io/github/last-commit/leelasd/ChemMORT?style=for-the-badge&logo=github)](https://github.com/leelasd/ChemMORT) [![Publication](https://img.shields.io/badge/Publication-Citations:3-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/bib/bbae008) 
 - **Computation-ADME**:   
-		[![Code](https://img.shields.io/github/stars/molecularinformatics/Computational-ADME?style=for-the-badge&logo=github)](https://github.com/molecularinformatics/Computational-ADME) [![Last Commit](https://img.shields.io/github/last-commit/molecularinformatics/Computational-ADME?style=for-the-badge&logo=github)](https://github.com/molecularinformatics/Computational-ADME) [![Publication](https://img.shields.io/badge/Publication-Citations:19-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.3c00160) 
+		[![Code](https://img.shields.io/github/stars/molecularinformatics/Computational-ADME?style=for-the-badge&logo=github)](https://github.com/molecularinformatics/Computational-ADME) [![Last Commit](https://img.shields.io/github/last-commit/molecularinformatics/Computational-ADME?style=for-the-badge&logo=github)](https://github.com/molecularinformatics/Computational-ADME) [![Publication](https://img.shields.io/badge/Publication-Citations:21-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.3c00160) 
 - **Datagrok Admetica**: Datagrok pretrained ADME models  
 		[![Code](https://img.shields.io/github/stars/datagrok-ai/admetica?style=for-the-badge&logo=github)](https://github.com/datagrok-ai/admetica) [![Last Commit](https://img.shields.io/github/last-commit/datagrok-ai/admetica?style=for-the-badge&logo=github)](https://github.com/datagrok-ai/admetica) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://public.datagrok.ai/browse/admetica.admeticaapp) 
 - **QIP**: Machine learning model that predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of molecules.  
@@ -37,22 +37,25 @@ icon: material/needle
 
 ## **PK**
 - **PKSmart**: This work used molecular structural fingerprints, physicochemical properties, and predicted animal PK data as features to model the human PK parameters VDss, CL, t½, fu and MRT for 1,283 unique compounds and developed a webhosted application **[PKSmart](https://pk-predictor.serve.scilifelab.se/)**, the first work that publicly releases PK models on par with industry-standard models.  
-		[![Code](https://img.shields.io/github/stars/srijitseal/PKSmart?style=for-the-badge&logo=github)](https://github.com/srijitseal/PKSmart) [![Last Commit](https://img.shields.io/github/last-commit/srijitseal/PKSmart?style=for-the-badge&logo=github)](https://github.com/srijitseal/PKSmart) [![Publication](https://img.shields.io/badge/Publication-Citations:5-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1101/2024.02.02.578658) 
+		[![Code](https://img.shields.io/github/stars/srijitseal/PKSmart?style=for-the-badge&logo=github)](https://github.com/srijitseal/PKSmart) [![Last Commit](https://img.shields.io/github/last-commit/srijitseal/PKSmart?style=for-the-badge&logo=github)](https://github.com/srijitseal/PKSmart) [![Publication](https://img.shields.io/badge/Publication-Citations:7-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1101/2024.02.02.578658) 
 
 ## **Toxicity**
 - **ProTox3**: Webserver for toxicity prediction  
-	[![Publication](https://img.shields.io/badge/Publication-Citations:71-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae303) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://tox.charite.de/protox3/) 
+	[![Publication](https://img.shields.io/badge/Publication-Citations:95-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae303) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://tox.charite.de/protox3/) 
+### **Toxicity**
+- **Cyto-Safe**: Webserver for toxicity prediction  
+		[![Code](https://img.shields.io/github/stars/LabMolUFG/cytosafe?style=for-the-badge&logo=github)](https://github.com/LabMolUFG/cytosafe) [![Last Commit](https://img.shields.io/github/last-commit/LabMolUFG/cytosafe?style=for-the-badge&logo=github)](https://github.com/LabMolUFG/cytosafe) [![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.4c01811) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](http://insightai.labmol.com.br/) 
 
 ## **hERG**
 - **CardioTox**: A robust predictor for hERG channel blockade via deep learning meta ensembling approaches  
 		[![Code](https://img.shields.io/github/stars/Abdulk084/CardioTox?style=for-the-badge&logo=github)](https://github.com/Abdulk084/CardioTox) [![Last Commit](https://img.shields.io/github/last-commit/Abdulk084/CardioTox?style=for-the-badge&logo=github)](https://github.com/Abdulk084/CardioTox) [![Publication](https://img.shields.io/badge/Publication-Citations:29-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1186/s13321-021-00541-z) 
 - **CLOP-hERG**: Contrastive Learning Optimized Pretrained Model for Representation Learning in Predicting Drug-Induced hERG Channel Blockers  
 		[![Code](https://img.shields.io/github/stars/heshida01/CLOP-hERG?style=for-the-badge&logo=github)](https://github.com/heshida01/CLOP-hERG/blob/main/README.md) [![Last Commit](https://img.shields.io/github/last-commit/heshida01/CLOP-hERG?style=for-the-badge&logo=github)](https://github.com/heshida01/CLOP-hERG/blob/main/README.md) [![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.47852/bonviewMEDIN42022049) 
 - **hERGdb**: web-based cardiotoxicity prediction  
-	[![Publication](https://img.shields.io/badge/Publication-Citations:43-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1371/journal.pone.0199348) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://drugdesign.riken.jp/hERGdb/) 
+	[![Publication](https://img.shields.io/badge/Publication-Citations:46-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1371/journal.pone.0199348) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://drugdesign.riken.jp/hERGdb/) 
 
 ## **logP**
 - **OWPCP**: OWPCP: A Deep Learning Model to Predict Octanol-Water Partition Coefficient  
 		[![Code](https://img.shields.io/github/stars/jmohammadmaleki/OWPCP?style=for-the-badge&logo=github)](https://github.com/jmohammadmaleki/OWPCP.git) [![Last Commit](https://img.shields.io/github/last-commit/jmohammadmaleki/OWPCP?style=for-the-badge&logo=github)](https://github.com/jmohammadmaleki/OWPCP.git) [![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.48550/arXiv.2410.18118) 
 - **rescoss_logp_ml**: A repository dedicated to logP prediction using machine learning, offering insights into the solubility and distribution properties of compounds.  
-		[![Code](https://img.shields.io/github/stars/cisert/rescoss_logp_ml?style=for-the-badge&logo=github)](https://github.com/cisert/rescoss_logp_ml) [![Last Commit](https://img.shields.io/github/last-commit/cisert/rescoss_logp_ml?style=for-the-badge&logo=github)](https://github.com/cisert/rescoss_logp_ml) [![Publication](https://img.shields.io/badge/Publication-Citations:23-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acsomega.2c05607) 
+		[![Code](https://img.shields.io/github/stars/cisert/rescoss_logp_ml?style=for-the-badge&logo=github)](https://github.com/cisert/rescoss_logp_ml) [![Last Commit](https://img.shields.io/github/last-commit/cisert/rescoss_logp_ml?style=for-the-badge&logo=github)](https://github.com/cisert/rescoss_logp_ml) [![Publication](https://img.shields.io/badge/Publication-Citations:25-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acsomega.2c05607) 
diff --git a/docs/Bioinformatics/Sequence Family Classification.md b/docs/Bioinformatics/Sequence Family Classification.md
@@ -3,4 +3,4 @@ icon: material/crowd
 ---
 
 - **InterPro**: resource for the classification of protein sequences into families  
-	[![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar%2Fgkae1082) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.ebi.ac.uk/interpro) 
+	[![Publication](https://img.shields.io/badge/Publication-Citations:3-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar%2Fgkae1082) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.ebi.ac.uk/interpro) 
diff --git a/docs/Chemical Space/Chemical Space Comparison.md b/docs/Chemical Space/Chemical Space Comparison.md
@@ -0,0 +1,6 @@
+---
+icon: material/select-compare
+---
+
+- **SpaceCompare**: Comparison of Combinatorial Fragment Spaces  
+	[![Publication](https://img.shields.io/badge/Publication-Citations:25-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.1c01378) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.zbh.uni-hamburg.de/en/forschung/amd/software/spacecompare.html) 
diff --git a/docs/Chemical Space/Chemical Space Search.md b/docs/Chemical Space/Chemical Space Search.md
@@ -4,3 +4,11 @@ icon: material/search-web
 
 - **CHEESE**:   
 	[![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=arxiv)](https://doi.org/10.26434/chemrxiv-2024-cswth) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://cheese-docs.deepmedchem.com/) 
+- **Space searching in RDKit**: Searching unreasonably large chemical spaces in reasonable amounts of time.  
+	[![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://greglandrum.github.io/rdkit-blog/posts/2024-12-03-introducing-synthon-search.html) 
+- **infiniSee**: Chemical Space navigation platform  
+	[![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.biosolveit.de/products/infinisee/) 
+- **SpaceLight**: Topological Similarity Search in Large Combinatorial Fragment Spaces  
+	[![Publication](https://img.shields.io/badge/Publication-Citations:32-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.0c00850) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.zbh.uni-hamburg.de/en/forschung/amd/software/spacelight.html) 
+- **SpaceMACS**: Maximum Common Substructure Searching in Combinatorial Make-on-Demand Compound Spaces  
+	[![Publication](https://img.shields.io/badge/Publication-Citations:37-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.1c00640) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.zbh.uni-hamburg.de/en/forschung/amd/software/spacemacs.html) 
diff --git a/docs/Chemical Space/Chemical library generation.md b/docs/Chemical Space/Chemical library generation.md
@@ -6,3 +6,7 @@ icon: material/database-plus
 		[![Code](https://img.shields.io/github/stars/iSCBTeam/ChemoDOTS?style=for-the-badge&logo=github)](https://github.com/iSCBTeam/ChemoDOTS) [![Last Commit](https://img.shields.io/github/last-commit/iSCBTeam/ChemoDOTS?style=for-the-badge&logo=github)](https://github.com/iSCBTeam/ChemoDOTS) [![Publication](https://img.shields.io/badge/Publication-Citations:0-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1093/nar/gkae326) [![Webserver](https://img.shields.io/badge/Webserver-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://chemodots.marseille.inserm.fr/) 
 - **MolFinder**: an evolutionary algorithm for the global optimization of molecular properties and the extensive exploration of chemical space using SMILES (standalone)  
 		[![Code](https://img.shields.io/github/stars/duaibeom/MolFinder?style=for-the-badge&logo=github)](https://github.com/duaibeom/MolFinder) [![Last Commit](https://img.shields.io/github/last-commit/duaibeom/MolFinder?style=for-the-badge&logo=github)](https://github.com/duaibeom/MolFinder) [![Publication](https://img.shields.io/badge/Publication-Citations:38-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1186/s13321-021-00501-7) 
+
+## **Fragment Library Enumeration**
+- **Fsees**: efficient method for exhaustively enumerating all molecules within a certain molecular subspace  
+	[![Publication](https://img.shields.io/badge/Publication-Citations:6-blue?style=for-the-badge&logo=bookstack)](https://doi.org/10.1021/acs.jcim.6b00117) [![Link](https://img.shields.io/badge/Link-online-brightgreen?style=for-the-badge&logo=cachet&logoColor=65FF8F)](https://www.zbh.uni-hamburg.de/en/forschung/amd/software/fsees.html)