Index: head/science/py-pyteomics/Makefile
===================================================================
--- head/science/py-pyteomics/Makefile	(revision 499297)
+++ head/science/py-pyteomics/Makefile	(revision 499298)
@@ -1,24 +1,26 @@
 # $FreeBSD$
 
 PORTNAME=	pyteomics
-PORTVERSION=	3.5.1
-PORTREVISION=	1
+PORTVERSION=	4.1
 CATEGORIES=	science python
 MASTER_SITES=	CHEESESHOP
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 
-MAINTAINER=	ports@FreeBSD.org
+MAINTAINER=	sunpoet@FreeBSD.org
 COMMENT=	Python modules for proteomics data analysis
 
 LICENSE=	APACHE20
 LICENSE_FILE=	${WRKSRC}/LICENSE
 
 RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}lxml>=0:devel/py-lxml@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}matplotlib>=0:math/py-matplotlib@${PY_FLAVOR} \
-		${PYNUMPY}
+		${PYNUMPY} \
+		${PYTHON_PKGNAMEPREFIX}pandas>=0:math/py-pandas@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}sqlalchemy13>=0:databases/py-sqlalchemy13@${PY_FLAVOR}
 
 USES=		python
-USE_PYTHON=	autoplist distutils
+USE_PYTHON=	autoplist concurrent distutils
+
 NO_ARCH=	yes
 
 .include <bsd.port.mk>
Index: head/science/py-pyteomics/distinfo
===================================================================
--- head/science/py-pyteomics/distinfo	(revision 499297)
+++ head/science/py-pyteomics/distinfo	(revision 499298)
@@ -1,3 +1,3 @@
-TIMESTAMP = 1543441181
-SHA256 (pyteomics-3.5.1.tar.gz) = acd95d8e139e42c113f3f0bc4f512b9a7081d94eefd5bd73e183e1b4a848c364
-SIZE (pyteomics-3.5.1.tar.gz) = 184709
+TIMESTAMP = 1555592418
+SHA256 (pyteomics-4.1.tar.gz) = d7eaa5a1c6f25a39a42c4846e8c39e23cd3ba6f1aeeeedb730c3911c82bf6633
+SIZE (pyteomics-4.1.tar.gz) = 209776
Index: head/science/py-pyteomics/pkg-descr
===================================================================
--- head/science/py-pyteomics/pkg-descr	(revision 499297)
+++ head/science/py-pyteomics/pkg-descr	(revision 499298)
@@ -1,16 +1,21 @@
-Pyteomics is a collection of lightweight and handy tools for Python
-that help to handle various sorts of proteomics data.  Pyteomics
-provides a growing set of modules to facilitate the most common
-tasks in proteomics data analysis, such as:
+Pyteomics is a collection of lightweight and handy tools for Python that help to
+handle various sorts of proteomics data. Pyteomics provides a growing set of
+modules to facilitate the most common tasks in proteomics data analysis, such
+as:
+- calculation of basic physico-chemical properties of polypeptides:
+  - mass and isotopic distribution
+  - charge and pI
+  - chromatographic retention time
+- access to common proteomics data:
+  - MS or LC-MS data
+  - FASTA databases
+  - search engines output
+- easy manipulation of sequences of modified peptides and proteins
 
- * calculation of basic physico-chemical properties of polypeptides:
-   . mass and isotopic distribution
-   . charge and pI
-   . chromatographic retention time
- * access to common proteomics data:
-   . MS or LC-MS data
-   . FASTA databases
-   . search engines output
- * easy manipulation of sequences of modified peptides and proteins
+The goal of the Pyteomics project is to provide a versatile, reliable and
+well-documented set of open tools for the wide proteomics community. One of the
+project's key features is Python itself, an open source language increasingly
+popular in scientific programming. The main applications of the library are
+reproducible statistical data analysis and rapid software prototyping.
 
-WWW: https://pypi.org/project/pyteomics/
+WWW: https://pyteomics.readthedocs.io/